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BT 34.016 768.351 Td /F1 24.0 Tf [(Computational Statistics Handbook With Matlab )] TJ ET
BT 34.016 739.047 Td /F1 24.0 Tf [(Solutions)] TJ ET
BT 34.016 693.385 Td /F1 12.0 Tf [(Eventually, you will no question discover a new experience and completion by spending more )] TJ ET
BT 34.016 678.733 Td /F1 12.0 Tf [(cash. still when? get you take that you require to acquire those all needs later than having )] TJ ET
BT 34.016 664.081 Td /F1 12.0 Tf [(significantly cash? Why dont you try to acquire something basic in the beginning? Thats something )] TJ ET
BT 34.016 649.429 Td /F1 12.0 Tf [(that will guide you to understand even more a propos the globe, experience, some places, with )] TJ ET
BT 34.016 634.777 Td /F1 12.0 Tf [(history, amusement, and a lot more? )] TJ ET
BT 34.016 605.725 Td /F1 12.0 Tf [(It is your utterly own get older to operate reviewing habit. in the middle of guides you could enjoy )] TJ ET
BT 34.016 591.073 Td /F1 12.0 Tf [(now is )] TJ ET
BT 71.360 591.073 Td /F1 12.0 Tf [(Computational Statistics Handbook With Matlab Solutions)] TJ ET
BT 377.480 591.073 Td /F1 12.0 Tf [( below.)] TJ ET
BT 34.016 538.021 Td /F1 12.0 Tf [(Numerical Computing with MATLAB)] TJ ET
BT 225.392 538.021 Td /F1 12.0 Tf [( Cleve B. Moler 2010-08-12 A revised textbook for introductory )] TJ ET
BT 34.016 523.369 Td /F1 12.0 Tf [(courses in numerical methods, MATLAB and technical computing, which emphasises the use of )] TJ ET
BT 34.016 508.717 Td /F1 12.0 Tf [(mathematical software.)] TJ ET
BT 34.016 494.065 Td /F1 12.0 Tf [(Scientific Computing with MATLAB)] TJ ET
BT 219.404 494.065 Td /F1 12.0 Tf [( Dingyu Xue 2018-09-03 Scientific Computing with MATLAB®, )] TJ ET
BT 34.016 479.413 Td /F1 12.0 Tf [(Second Edition improves students’ ability to tackle mathematical problems. It helps students )] TJ ET
BT 34.016 464.761 Td /F1 12.0 Tf [(understand the mathematical background and find reliable and accurate solutions to mathematical )] TJ ET
BT 34.016 450.109 Td /F1 12.0 Tf [(problems with the use of MATLAB, avoiding the tedious and complex technical details of )] TJ ET
BT 34.016 435.457 Td /F1 12.0 Tf [(mathematics. This edition retains the structure of its predecessor while expanding and updating )] TJ ET
BT 34.016 420.805 Td /F1 12.0 Tf [(the content of each chapter. The book bridges the gap between problems and solutions through )] TJ ET
BT 34.016 406.153 Td /F1 12.0 Tf [(well-grouped topics and clear MATLAB example scripts and reproducible MATLAB-generated )] TJ ET
BT 34.016 391.501 Td /F1 12.0 Tf [(plots. Students can effortlessly experiment with the scripts for a deep, hands-on exploration. Each )] TJ ET
BT 34.016 376.849 Td /F1 12.0 Tf [(chapter also includes a set of problems to strengthen understanding of the material.)] TJ ET
BT 34.016 362.197 Td /F1 12.0 Tf [(Nanoelectronic Coupled Problems Solutions)] TJ ET
BT 268.772 362.197 Td /F1 12.0 Tf [( E. Jan W. ter Maten 2019-11-06 Designs in )] TJ ET
BT 34.016 347.545 Td /F1 12.0 Tf [(nanoelectronics often lead to challenging simulation problems and include strong feedback )] TJ ET
BT 34.016 332.893 Td /F1 12.0 Tf [(couplings. Industry demands provisions for variability in order to guarantee quality and yield. It also )] TJ ET
BT 34.016 318.241 Td /F1 12.0 Tf [(requires the incorporation of higher abstraction levels to allow for system simulation in order to )] TJ ET
BT 34.016 303.589 Td /F1 12.0 Tf [(shorten the design cycles, while at the same time preserving accuracy. The methods developed )] TJ ET
BT 34.016 288.937 Td /F1 12.0 Tf [(here promote a methodology for circuit-and-system-level modelling and simulation based on best )] TJ ET
BT 34.016 274.285 Td /F1 12.0 Tf [(practice rules, which are used to deal with coupled electromagnetic field-circuit-heat problems, as )] TJ ET
BT 34.016 259.633 Td /F1 12.0 Tf [(well as coupled electro-thermal-stress problems that emerge in nanoelectronic designs. This book )] TJ ET
BT 34.016 244.981 Td /F1 12.0 Tf [(covers: \(1\) advanced monolithic/multirate/co-simulation techniques, which are combined with )] TJ ET
BT 34.016 230.329 Td /F1 12.0 Tf [(envelope/wavelet approaches to create efficient and robust simulation techniques for strongly )] TJ ET
BT 34.016 215.677 Td /F1 12.0 Tf [(coupled systems that exploit the different dynamics of sub-systems within multiphysics problems, )] TJ ET
BT 34.016 201.025 Td /F1 12.0 Tf [(and which allow designers to predict reliability and ageing; \(2\) new generalized techniques in )] TJ ET
BT 34.016 186.373 Td /F1 12.0 Tf [(Uncertainty Quantification \(UQ\) for coupled problems to include a variability capability such that )] TJ ET
BT 34.016 171.721 Td /F1 12.0 Tf [(robust design and optimization, worst case analysis, and yield estimation with tiny failure )] TJ ET
BT 34.016 157.069 Td /F1 12.0 Tf [(probabilities are possible \(including large deviations like 6-sigma\); \(3\) enhanced sparse, )] TJ ET
BT 34.016 142.417 Td /F1 12.0 Tf [(parametric Model Order Reduction techniques with a posteriori error estimation for coupled )] TJ ET
BT 34.016 127.765 Td /F1 12.0 Tf [(problems and for UQ to reduce the complexity of the sub-systems while ensuring that the )] TJ ET
BT 34.016 113.113 Td /F1 12.0 Tf [(operational and coupling parameters can still be varied and that the reduced models offer higher )] TJ ET
BT 34.016 98.461 Td /F1 12.0 Tf [(abstraction levels that can be efficiently simulated. All the new algorithms produced were )] TJ ET
BT 34.016 83.809 Td /F1 12.0 Tf [(implemented, transferred and tested by the EDA vendor MAGWEL. Validation was conducted on )] TJ ET
BT 34.016 69.157 Td /F1 12.0 Tf [(industrial designs provided by end-users from the semiconductor industry, who shared their )] TJ ET
BT 34.016 54.505 Td /F1 12.0 Tf [(feedback, contributed to the measurements, and supplied both material data and process data. In )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(closing, a thorough comparison to measurements on real devices was made in order to )] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(demonstrate the algorithms’ industrial applicability.)] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(Engineering Biostatistics)] TJ ET
BT 164.732 766.849 Td /F1 12.0 Tf [( Brani Vidakovic 2017-11-06 Provides a one-stop resource for engineers )] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(learning biostatistics using MATLAB® and WinBUGS Through its scope and depth of coverage, )] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(this book addresses the needs of the vibrant and rapidly growing bio-oriented engineering fields )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(while implementing software packages that are familiar to engineers. The book is heavily oriented )] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(to computation and hands-on approaches so readers understand each step of the programming. )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(Another dimension of this book is in parallel coverage of both Bayesian and frequentist )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [(approaches to statistical inference. It avoids taking sides on the classical vs. Bayesian paradigms, )] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(and many examples in this book are solved using both methods. The results are then compared )] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(and commented upon. Readers have the choice of MATLAB® for classical data analysis and )] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [(WinBUGS/OpenBUGS for Bayesian data analysis. Every chapter starts with a box highlighting )] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(what is covered in that chapter and ends with exercises, a list of software scripts, datasets, and )] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(references. Engineering Biostatistics: An Introduction using MATLAB® and WinBUGS also )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(includes: parallel coverage of classical and Bayesian approaches, where appropriate substantial )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(coverage of Bayesian approaches to statistical inference material that has been classroom-tested )] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(in an introductory statistics course in bioengineering over several years exercises at the end of )] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(each chapter and an accompanying website with full solutions and hints to some exercises, as well )] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(as additional materials and examples Engineering Biostatistics: An Introduction using MATLAB® )] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(and WinBUGS can serve as a textbook for introductory-to-intermediate applied statistics courses, )] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(as well as a useful reference for engineers interested in biostatistical approaches.)] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(MATLAB for Psychologists)] TJ ET
BT 176.060 488.461 Td /F1 12.0 Tf [( Mauro Borgo 2012-03-24 The matrix laboratory interactive computing )] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(environment—MATLAB—has brought creativity to research in diverse disciplines, particularly in )] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(designing and programming experiments. More commonly used in mathematics and the sciences, )] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(it also lends itself to a variety of applications across the field of psychology. For the novice looking )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(to use it in experimental psychology research, though, becoming familiar with MATLAB can be a )] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(daunting task. MATLAB for Psychologists expertly guides readers through the component steps, )] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(skills, and operations of the software, with plentiful graphics and examples to match the reader’s )] TJ ET
BT 34.016 385.897 Td /F1 12.0 Tf [(comfort level. Using an extended illustration, this concise volume explains the program’s )] TJ ET
BT 34.016 371.245 Td /F1 12.0 Tf [(usefulness at any point in an experiment, without the limits imposed by other types of software. )] TJ ET
BT 34.016 356.593 Td /F1 12.0 Tf [(And the authors demonstrate the responsiveness of MATLAB to the individual’s research needs, )] TJ ET
BT 34.016 341.941 Td /F1 12.0 Tf [(whether the task is programming experiments, creating sensory stimuli, running simulations, or )] TJ ET
BT 34.016 327.289 Td /F1 12.0 Tf [(calculating statistics for data analysis. Key features of the coverage: Thinking in a matrix way. )] TJ ET
BT 34.016 312.637 Td /F1 12.0 Tf [(Handling and plotting data. Guidelines for improved programming, sound, and imaging. Statistical )] TJ ET
BT 34.016 297.985 Td /F1 12.0 Tf [(analysis and signal detection theory indexes. The Graphical User Interface. The Psychophysics )] TJ ET
BT 34.016 283.333 Td /F1 12.0 Tf [(Toolbox. MATLAB for Psychologists serves a wide audience of advanced undergraduate and )] TJ ET
BT 34.016 268.681 Td /F1 12.0 Tf [(graduate level psychology students, professors, and researchers as well as lab technicians )] TJ ET
BT 34.016 254.029 Td /F1 12.0 Tf [(involved in programming psychology experiments.)] TJ ET
BT 34.016 239.377 Td /F1 12.0 Tf [(Introduction to MATLAB for Engineers and Scientists)] TJ ET
BT 314.144 239.377 Td /F1 12.0 Tf [( Sandeep Nagar 2017-11-27 Familiarize )] TJ ET
BT 34.016 224.725 Td /F1 12.0 Tf [(yourself with MATLAB using this concise, practical tutorial that is focused on writing code to learn )] TJ ET
BT 34.016 210.073 Td /F1 12.0 Tf [(concepts. Starting from the basics, this book covers array-based computing, plotting and working )] TJ ET
BT 34.016 195.421 Td /F1 12.0 Tf [(with files, numerical computation formalism, and the primary concepts of approximations. )] TJ ET
BT 34.016 180.769 Td /F1 12.0 Tf [(Introduction to MATLAB is useful for industry engineers, researchers, and students who are )] TJ ET
BT 34.016 166.117 Td /F1 12.0 Tf [(looking for open-source solutions for numerical computation. In this book you will learn by doing, )] TJ ET
BT 34.016 151.465 Td /F1 12.0 Tf [(avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run )] TJ ET
BT 34.016 136.813 Td /F1 12.0 Tf [(basic calculations, absorbing technical complexities incrementally as you progress toward )] TJ ET
BT 34.016 122.161 Td /F1 12.0 Tf [(advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can )] TJ ET
BT 34.016 107.509 Td /F1 12.0 Tf [(grasp the concepts. What You'll Learn Apply sample code to your engineering or science problems )] TJ ET
BT 34.016 92.857 Td /F1 12.0 Tf [(Work with MATLAB arrays, functions, and loops Use MATLAB’s plotting functions for data )] TJ ET
BT 34.016 78.205 Td /F1 12.0 Tf [(visualization Solve numerical computing and computational engineering problems with a MATLAB )] TJ ET
BT 34.016 63.553 Td /F1 12.0 Tf [(case study Who This Book Is For Engineers, scientists, researchers, and students who are new to )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(MATLAB. Some prior programming experience would be helpful but not required.)] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(Foundations of Computational Finance with MATLAB)] TJ ET
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BT 316.136 781.501 Td /F1 12.0 Tf [( Ed McCarthy 2018-06-13 Graduate from )] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(Excel to MATLAB® to keep up with the evolution of finance data Foundations of Computational )] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(Finance with MATLAB® is an introductory text for both finance professionals looking to branch out )] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(from the spreadsheet, and for programmers who wish to learn more about finance. As financial )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(data grows in volume and complexity, its very nature has changed to the extent that traditional )] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(financial calculators and spreadsheet programs are simply no longer enough. Today’s analysts )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(need more powerful data solutions with more customization and visualization capabilities, and )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [(MATLAB provides all of this and more in an easy-to-learn skillset. This book walks you through the )] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(basics, and then shows you how to stretch your new skills to create customized solutions. Part I )] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(demonstrates MATLAB’s capabilities as they apply to traditional finance concepts, and PART II )] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [(shows you how to create interactive and reusable code, link with external data sources, )] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(communicate graphically, and more. Master MATLAB’s basic operations including matrices, )] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(arrays, and flexible data structures Learn how to build your own customized solutions when the )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(built-ins just won’t do Learn how to handle financial data and industry-specific variables including )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(risk and uncertainty Adopt more accurate modeling practices for portfolios, options, time series, )] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(and more MATLAB is an integrated development environment that includes everything you need in )] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(one well-designed user interface. Available Toolboxes provide tested algorithms that save you )] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(hours of code, and the skills you learn using MATLAB make it easier to learn additional languages )] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(if you choose to do so. Financial firms are catching up to universities in MATLAB usage, so this is )] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(skill set that will follow you throughout your career. When you’re ready to step into the new age of )] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(finance, Foundations of Computational Finance with MATLAB provides the expert instruction you )] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(need to get started quickly.)] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(Exercises in Computational Mathematics with MATLAB)] TJ ET
BT 326.768 459.157 Td /F1 12.0 Tf [( Tom Lyche 2014-09-02 Designed to )] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(provide tools for independent study, this book contains student-tested mathematical exercises )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(joined with MATLAB programming exercises. Most chapters open with a review followed by )] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(theoretical and programming exercises, with detailed solutions provided for all problems including )] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(programs. Many of the MATLAB exercises are presented as Russian dolls: each question )] TJ ET
BT 34.016 385.897 Td /F1 12.0 Tf [(improves and completes the previous program and results are provided to validate the )] TJ ET
BT 34.016 371.245 Td /F1 12.0 Tf [(intermediate programs. The book offers useful MATLAB commands, advice on tables, vectors, )] TJ ET
BT 34.016 356.593 Td /F1 12.0 Tf [(matrices and basic commands for plotting. It contains material on eigenvalues and eigenvectors )] TJ ET
BT 34.016 341.941 Td /F1 12.0 Tf [(and important norms of vectors and matrices including perturbation theory; iterative methods for )] TJ ET
BT 34.016 327.289 Td /F1 12.0 Tf [(solving nonlinear and linear equations; polynomial and piecewise polynomial interpolation; Bézier )] TJ ET
BT 34.016 312.637 Td /F1 12.0 Tf [(curves; approximations of functions and integrals and more. The last two chapters considers )] TJ ET
BT 34.016 297.985 Td /F1 12.0 Tf [(ordinary differential equations including two point boundary value problems, and deal with finite )] TJ ET
BT 34.016 283.333 Td /F1 12.0 Tf [(difference methods for some partial differential equations. The format is designed to assist )] TJ ET
BT 34.016 268.681 Td /F1 12.0 Tf [(students working alone, with concise Review paragraphs, Math Hint footnotes on the mathematical )] TJ ET
BT 34.016 254.029 Td /F1 12.0 Tf [(aspects of a problem and MATLAB Hint footnotes with tips on programming.)] TJ ET
BT 34.016 239.377 Td /F1 12.0 Tf [(Statistics in MATLAB)] TJ ET
BT 146.048 239.377 Td /F1 12.0 Tf [( MoonJung Cho 2014-12-15 Fulfilling the need for a practical user's guide, )] TJ ET
BT 34.016 224.725 Td /F1 12.0 Tf [(Statistics in MATLAB: A Primer provides an accessible introduction to the latest version of )] TJ ET
BT 34.016 210.073 Td /F1 12.0 Tf [(MATLAB and its extensive functionality for statistics. Assuming a basic knowledge of statistics and )] TJ ET
BT 34.016 195.421 Td /F1 12.0 Tf [(probability as well as a fundamental understanding of linear algebra concepts, this book:Covers )] TJ ET
BT 34.016 180.769 Td /F1 12.0 Tf [(capabilities)] TJ ET
BT 34.016 166.117 Td /F1 12.0 Tf [(Scientific Computing - An Introduction using Maple and MATLAB)] TJ ET
BT 377.492 166.117 Td /F1 12.0 Tf [( Walter Gander 2014-04-23 )] TJ ET
BT 34.016 151.465 Td /F1 12.0 Tf [(Scientific computing is the study of how to use computers effectively to solve problems that arise )] TJ ET
BT 34.016 136.813 Td /F1 12.0 Tf [(from the mathematical modeling of phenomena in science and engineering. It is based on )] TJ ET
BT 34.016 122.161 Td /F1 12.0 Tf [(mathematics, numerical and symbolic/algebraic computations and visualization. This book serves )] TJ ET
BT 34.016 107.509 Td /F1 12.0 Tf [(as an introduction to both the theory and practice of scientific computing, with each chapter )] TJ ET
BT 34.016 92.857 Td /F1 12.0 Tf [(presenting the basic algorithms that serve as the workhorses of many scientific codes; we explain )] TJ ET
BT 34.016 78.205 Td /F1 12.0 Tf [(both the theory behind these algorithms and how they must be implemented in order to work )] TJ ET
BT 34.016 63.553 Td /F1 12.0 Tf [(reliably in finite-precision arithmetic. The book includes many programs written in Matlab and )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(Maple – Maple is often used to derive numerical algorithms, whereas Matlab is used to implement )] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(them. The theory is developed in such a way that students can learn by themselves as they work )] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(through the text. Each chapter contains numerous examples and problems to help readers )] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(understand the material “hands-on”.)] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(Exploratory Data Analysis with MATLAB)] TJ ET
BT 247.412 737.545 Td /F1 12.0 Tf [( Wendy L. Martinez 2017-08-07 Praise for the Second )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many )] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(examples, proposed exercises, good references, and comprehensive appendices that initiate the )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [("Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a )] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(great service by bringing together so many EDA routines, but their main accomplishment in this )] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(dynamic text is providing the understanding and tools to do EDA. —David A Huckaby, MAA )] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [(Reviews Exploratory Data Analysis \(EDA\) is an important part of the data analysis process. The )] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(methods presented in this text are ones that should be in the toolkit of every data scientist. As )] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(computational sophistication has increased and data sets have grown in size and complexity, EDA )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(has become an even more important process for visualizing and summarizing data before making )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third )] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(Edition presents EDA methods from a computational perspective and uses numerous examples )] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(and applications to show how the methods are used in practice. The authors use MATLAB code, )] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for )] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(examples, data sets, and the EDA Toolbox are available for download on the book’s website. New )] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning )] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster )] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots )] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(and violin plots A chapter on visualizing categorical data)] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(Python for Data Analysis)] TJ ET
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BT 165.404 444.505 Td /F1 12.0 Tf [( Wes McKinney 2017-09-25 Get complete instructions for manipulating, )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second )] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(edition of this hands-on guide is packed with practical case studies that show you how to solve a )] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, )] TJ ET
BT 34.016 385.897 Td /F1 12.0 Tf [(IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas )] TJ ET
BT 34.016 371.245 Td /F1 12.0 Tf [(project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for )] TJ ET
BT 34.016 356.593 Td /F1 12.0 Tf [(analysts new to Python and for Python programmers new to data science and scientific computing. )] TJ ET
BT 34.016 341.941 Td /F1 12.0 Tf [(Data files and related material are available on GitHub. Use the IPython shell and Jupyter )] TJ ET
BT 34.016 327.289 Td /F1 12.0 Tf [(notebook for exploratory computing Learn basic and advanced features in NumPy \(Numerical )] TJ ET
BT 34.016 312.637 Td /F1 12.0 Tf [(Python\) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, )] TJ ET
BT 34.016 297.985 Td /F1 12.0 Tf [(transform, merge, and reshape data Create informative visualizations with matplotlib Apply the )] TJ ET
BT 34.016 283.333 Td /F1 12.0 Tf [(pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular )] TJ ET
BT 34.016 268.681 Td /F1 12.0 Tf [(and irregular time series data Learn how to solve real-world data analysis problems with thorough, )] TJ ET
BT 34.016 254.029 Td /F1 12.0 Tf [(detailed examples)] TJ ET
BT 34.016 239.377 Td /F1 12.0 Tf [(MATLAB for Neuroscientists)] TJ ET
BT 184.724 239.377 Td /F1 12.0 Tf [( Pascal Wallisch 2014-01-09 MATLAB for Neuroscientists serves as )] TJ ET
BT 34.016 224.725 Td /F1 12.0 Tf [(the only complete study manual and teaching resource for MATLAB, the globally accepted )] TJ ET
BT 34.016 210.073 Td /F1 12.0 Tf [(standard for scientific computing, in the neurosciences and psychology. This unique introduction )] TJ ET
BT 34.016 195.421 Td /F1 12.0 Tf [(can be used to learn the entire empirical and experimental process \(including stimulus generation, )] TJ ET
BT 34.016 180.769 Td /F1 12.0 Tf [(experimental control, data collection, data analysis, modeling, and more\), and the 2nd Edition )] TJ ET
BT 34.016 166.117 Td /F1 12.0 Tf [(continues to ensure that a wide variety of computational problems can be addressed in a single )] TJ ET
BT 34.016 151.465 Td /F1 12.0 Tf [(programming environment. This updated edition features additional material on the creation of )] TJ ET
BT 34.016 136.813 Td /F1 12.0 Tf [(visual stimuli, advanced psychophysics, analysis of LFP data, choice probabilities, synchrony, and )] TJ ET
BT 34.016 122.161 Td /F1 12.0 Tf [(advanced spectral analysis. Users at a variety of levels—advanced undergraduates, beginning )] TJ ET
BT 34.016 107.509 Td /F1 12.0 Tf [(graduate students, and researchers looking to modernize their skills—will learn to design and )] TJ ET
BT 34.016 92.857 Td /F1 12.0 Tf [(implement their own analytical tools, and gain the fluency required to meet the computational )] TJ ET
BT 34.016 78.205 Td /F1 12.0 Tf [(needs of neuroscience practitioners. The first complete volume on MATLAB focusing on )] TJ ET
BT 34.016 63.553 Td /F1 12.0 Tf [(neuroscience and psychology applications Problem-based approach with many examples from )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(neuroscience and cognitive psychology using real data Illustrated in full color throughout Careful )] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(tutorial approach, by authors who are award-winning educators with strong teaching experience)] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(An Introduction to Scientific Computing)] TJ ET
BT 240.776 766.849 Td /F1 12.0 Tf [( Ionut Danaila 2007-12-03 This book demonstrates )] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(scientific computing by presenting twelve computational projects in several disciplines including )] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(Fluid Mechanics, Thermal Science, Computer Aided Design, Signal Processing and more. Each )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(follows typical steps of scientific computing, from physical and mathematical description, to )] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(numerical formulation and programming and critical discussion of results. The text teaches )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(practical methods not usually available in basic textbooks: numerical checking of accuracy, choice )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [(of boundary conditions, effective solving of linear systems, comparison to exact solutions and )] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(more. The final section of each project contains the solutions to proposed exercises and guides )] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(the reader in using the MATLAB scripts available online.)] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [(Patterns Identification and Data Mining in Weather and Climate)] TJ ET
0.24 w 0 J [ ] 0 d
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BT 368.828 634.981 Td /F1 12.0 Tf [( Abdelwaheb Hannachi 2021-05-06 )] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(Advances in computer power and observing systems has led to the generation and accumulation )] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(of large scale weather & climate data begging for exploration and analysis. Pattern Identification )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(and Data Mining in Weather and Climate presents, from different perspectives, most available, )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(novel and conventional, approaches used to analyze multivariate time series in climate science to )] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(identify patterns of variability, teleconnections, and reduce dimensionality. The book discusses )] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(different methods to identify patterns of spatiotemporal fields. The book also presents machine )] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(learning with a particular focus on the main methods used in climate science. Applications to )] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(atmospheric and oceanographic data are also presented and discussed in most chapters. To help )] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(guide students and beginners in the field of weather & climate data analysis, basic Matlab skeleton )] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(codes are given is some chapters, complemented with a list of software links toward the end of the )] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(text. A number of technical appendices are also provided, making the text particularly suitable for )] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(didactic purposes. The topic of EOFs and associated pattern identification in space-time data sets )] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(has gone through an extraordinary fast development, both in terms of new insights and the )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(breadth of applications. We welcome this text by Abdel Hannachi who not only has a deep insight )] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(in the field but has himself made several contributions to new developments in the last 15 years. - )] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(Huug van den Dool, Climate Prediction Center, NCEP, College Park, MD, U.S.A. Now that )] TJ ET
BT 34.016 385.897 Td /F1 12.0 Tf [(weather and climate science is producing ever larger and richer data sets, the topic of pattern )] TJ ET
BT 34.016 371.245 Td /F1 12.0 Tf [(extraction and interpretation has become an essential part. This book provides an up to date )] TJ ET
BT 34.016 356.593 Td /F1 12.0 Tf [(overview of the latest techniques and developments in this area. - Maarten Ambaum, Department )] TJ ET
BT 34.016 341.941 Td /F1 12.0 Tf [(of Meteorology, University of Reading, U.K. This nicely and expertly written book covers a lot of )] TJ ET
BT 34.016 327.289 Td /F1 12.0 Tf [(ground, ranging from classical linear pattern identification techniques to more modern machine )] TJ ET
BT 34.016 312.637 Td /F1 12.0 Tf [(learning, illustrated with examples from weather & climate science. It will be very valuable both as )] TJ ET
BT 34.016 297.985 Td /F1 12.0 Tf [(a tutorial for graduate and postgraduate students and as a reference text for researchers and )] TJ ET
BT 34.016 283.333 Td /F1 12.0 Tf [(practitioners in the field. - Frank Kwasniok, College of Engineering, University of Exeter, U.K.)] TJ ET
BT 34.016 268.681 Td /F1 12.0 Tf [(Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk )] TJ ET
BT 34.016 254.029 Td /F1 12.0 Tf [(Detection)] TJ ET
BT 84.704 254.029 Td /F1 12.0 Tf [( Koyuncugil, Ali Serhan 2010-09-30 Surveillance Technologies and Early Warning )] TJ ET
BT 34.016 239.377 Td /F1 12.0 Tf [(Systems: Data Mining Applications for Risk Detection has never been more important, as the )] TJ ET
BT 34.016 224.725 Td /F1 12.0 Tf [(research this book presents an alternative to conventional surveillance and risk assessment. This )] TJ ET
BT 34.016 210.073 Td /F1 12.0 Tf [(book is a multidisciplinary excursion comprised of data mining, early warning systems, information )] TJ ET
BT 34.016 195.421 Td /F1 12.0 Tf [(technologies and risk management and explores the intersection of these components in )] TJ ET
BT 34.016 180.769 Td /F1 12.0 Tf [(problematic domains. It offers the ability to apply the most modern techniques to age old problems )] TJ ET
BT 34.016 166.117 Td /F1 12.0 Tf [(allowing for increased effectiveness in the response to future, eminent, and present risk.)] TJ ET
BT 34.016 151.465 Td /F1 12.0 Tf [(A MATLAB Exercise Book)] TJ ET
BT 173.396 151.465 Td /F1 12.0 Tf [( Ludmila Kuncheva 2014-06-18 A practical guide to problem solving )] TJ ET
BT 34.016 136.813 Td /F1 12.0 Tf [(using MATLAB. Designed to complement a taught course introducing MATLAB but ideally suited )] TJ ET
BT 34.016 122.161 Td /F1 12.0 Tf [(for any beginner. This book provides a brief tour of some of the tasks that MATLAB is perfectly )] TJ ET
BT 34.016 107.509 Td /F1 12.0 Tf [(suited to instead of focusing on any particular topic. Providing instruction, guidance and a large )] TJ ET
BT 34.016 92.857 Td /F1 12.0 Tf [(supply of exercises, this book is meant to stimulate problem-solving skills rather than provide an in-)] TJ ET
BT 34.016 78.205 Td /F1 12.0 Tf [(depth knowledge of the MATLAB language.)] TJ ET
BT 34.016 63.553 Td /F1 12.0 Tf [(Probability and Statistics for Computer Scientists, Second Edition)] TJ ET
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BT 380.156 63.553 Td /F1 12.0 Tf [( Michael Baron 2013-08-05 )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools )] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(Incorporating feedback from instructors and researchers who used the previous edition, Probability )] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(and Statistics for Computer Scientists, Second Edition helps students understand general methods )] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(of stochastic modeling, simulation, and data analysis; make optimal decisions under uncertainty; )] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(model and evaluate computer systems and networks; and prepare for advanced probability-based )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(courses. Written in a lively style with simple language, this classroom-tested book can now be )] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(used in both one- and two-semester courses. New to the Second Edition Axiomatic introduction of )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(probability Expanded coverage of statistical inference, including standard errors of estimates and )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [(their estimation, inference about variances, chi-square tests for independence and goodness of fit, )] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(nonparametric statistics, and bootstrap More exercises at the end of each chapter Additional )] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(MATLAB® codes, particularly new commands of the Statistics Toolbox In-Depth yet Accessible )] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [(Treatment of Computer Science-Related Topics Starting with the fundamentals of probability, the )] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(text takes students through topics heavily featured in modern computer science, computer )] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(engineering, software engineering, and associated fields, such as computer simulations, Monte )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(Carlo methods, stochastic processes, Markov chains, queuing theory, statistical inference, and )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(regression. It also meets the requirements of the Accreditation Board for Engineering and )] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(Technology \(ABET\). Encourages Practical Implementation of Skills Using simple MATLAB )] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(commands \(easily translatable to other computer languages\), the book provides short programs )] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(for implementing the methods of probability and statistics as well as for visualizing randomness, )] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(the behavior of random variables and stochastic processes, convergence results, and Monte Carlo )] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(simulations. Preliminary knowledge of MATLAB is not required. Along with numerous computer )] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(science applications and worked examples, the text presents interesting facts and paradoxical )] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(statements. Each chapter concludes with a short summary and many exercises.)] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(MATLAB Programming for Biomedical Engineers and Scientists)] TJ ET
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BT 372.128 459.157 Td /F1 12.0 Tf [( Andrew King 2017-06-14 )] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(MATLAB Programming for Biomedical Engineers and Scientists provides an easy-to-learn )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(introduction to the fundamentals of computer programming in MATLAB. This book explains the )] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(principles of good programming practice, while demonstrating how to write efficient and robust )] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(code that analyzes and visualizes biomedical data. Aimed at the biomedical engineer, biomedical )] TJ ET
BT 34.016 385.897 Td /F1 12.0 Tf [(scientist, and medical researcher with little or no computer programming experience, it is an )] TJ ET
BT 34.016 371.245 Td /F1 12.0 Tf [(excellent resource for learning the principles and practice of computer programming using )] TJ ET
BT 34.016 356.593 Td /F1 12.0 Tf [(MATLAB. This book enables the reader to: Analyze problems and apply structured design )] TJ ET
BT 34.016 341.941 Td /F1 12.0 Tf [(methods to produce elegant, efficient and well-structured program designs Implement a structured )] TJ ET
BT 34.016 327.289 Td /F1 12.0 Tf [(program design in MATLAB, making good use of incremental development approaches Write code )] TJ ET
BT 34.016 312.637 Td /F1 12.0 Tf [(that makes good use of MATLAB programming features, including control structures, functions )] TJ ET
BT 34.016 297.985 Td /F1 12.0 Tf [(and advanced data types Write MATLAB code to read in medical data from files and write data to )] TJ ET
BT 34.016 283.333 Td /F1 12.0 Tf [(files Write MATLAB code that is efficient and robust to errors in input data Write MATLAB code to )] TJ ET
BT 34.016 268.681 Td /F1 12.0 Tf [(analyze and visualize medical data, including imaging data For a firsthand interview with the )] TJ ET
BT 34.016 254.029 Td /F1 12.0 Tf [(authors, please visit http://scitechconnect.elsevier.com/matlab-programming-biomedical-engineers-)] TJ ET
BT 34.016 239.377 Td /F1 12.0 Tf [(scientists/ To access student materials, please visit https://www.elsevier.com/books-and-)] TJ ET
BT 34.016 224.725 Td /F1 12.0 Tf [(journals/book-companion/9780128122037 To register and access instructor materials, please visit )] TJ ET
BT 34.016 210.073 Td /F1 12.0 Tf [(http://textbooks.elsevier.com/web/Manuals.aspx?isbn=9780128122037 Many real world )] TJ ET
BT 34.016 195.421 Td /F1 12.0 Tf [(biomedical problems and data show the practical application of programming concepts Two whole )] TJ ET
BT 34.016 180.769 Td /F1 12.0 Tf [(chapters dedicated to the practicalities of designing and implementing more complex programs An )] TJ ET
BT 34.016 166.117 Td /F1 12.0 Tf [(accompanying website containing freely available data and source code for the practical code )] TJ ET
BT 34.016 151.465 Td /F1 12.0 Tf [(examples, activities, and exercises in the book For instructors, there are extra teaching materials )] TJ ET
BT 34.016 136.813 Td /F1 12.0 Tf [(including a complete set of slides, notes for a course based on the book, and course work )] TJ ET
BT 34.016 122.161 Td /F1 12.0 Tf [(suggestions)] TJ ET
BT 34.016 107.509 Td /F1 12.0 Tf [(Computational Techniques for Process Simulation and Analysis Using MATLAB®)] TJ ET
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BT 465.680 107.509 Td /F1 12.0 Tf [( Niket S. Kaisare )] TJ ET
BT 34.016 92.857 Td /F1 12.0 Tf [(2017-09-18 MATLAB® has become one of the prominent languages used in research and industry )] TJ ET
BT 34.016 78.205 Td /F1 12.0 Tf [(and often described as "the language of technical computing". The focus of this book will be to )] TJ ET
BT 34.016 63.553 Td /F1 12.0 Tf [(highlight the use of MATLAB® in technical computing; or more specifically, in solving problems in )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(Process Simulations. This book aims to bring a practical approach to expounding theories: both )] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(numerical aspects of stability and convergence, as well as linear and nonlinear analysis of )] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(systems. The book is divided into three parts which are laid out with a "Process Analysis" )] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(viewpoint. First part covers system dynamics followed by solution of linear and nonlinear )] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(equations, including Differential Algebraic Equations \(DAE\) while the last part covers function )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(approximation and optimization. Intended to be an advanced level textbook for numerical methods, )] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(simulation and analysis of process systems and computational programming lab, it covers )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(following key points • Comprehensive coverage of numerical analyses based on MATLAB for )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [(chemical process examples. • Includes analysis of transient behavior of chemical processes. • )] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(Discusses coding hygiene, process animation and GUI exclusively. • Treatment of process )] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(dynamics, linear stability, nonlinear analysis and function approximation through contemporary )] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [(examples. • Focus on simulation using MATLAB to solve ODEs and PDEs that are frequently )] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(encountered in process systems.)] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(Scientific Computing with MATLAB and Octave)] TJ ET
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BT 284.108 605.677 Td /F1 12.0 Tf [( Alfio Quarteroni 2010-05-30 Preface to the First )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(Edition This textbook is an introduction to Scienti?c Computing. We will illustrate several numerical )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(methods for the computer solution of c- tain classes of mathematical problems that cannot be )] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(faced by paper and pencil. We will show how to compute the zeros or the integrals of continuous )] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(functions, solve linear systems, approximate functions by polynomials and construct accurate )] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(approximations for the solution of di?erential equations. With this aim, in Chapter 1 we will )] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(illustrate the rules of the game thatcomputersadoptwhenstoringandoperatingwith realandcomplex )] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(numbers, vectors and matrices. In order to make our presentation concrete and appealing we will )] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(1 adopt the programming environment MATLAB as a faithful c- panion. We will gradually discover )] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(its principal commands, statements and constructs. We will show how to execute all the algorithms )] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(that we introduce throughout the book. This will enable us to furnish an - mediate quantitative )] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(assessment of their theoretical properties such as stability, accuracy and complexity. We will solve )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(several problems that will be raisedthrough exercises and examples, often stemming from s- ci?c )] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(applications.)] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(NUMERICAL, SYMBOLIC AND STATISTICAL COMPUTING FOR CHEMICAL ENGINEERS )] TJ ET
BT 34.016 385.897 Td /F1 12.0 Tf [(USING MATLAB)] TJ ET
BT 123.368 385.897 Td /F1 12.0 Tf [( Ghosh, Pallab 2018-09-01 Numerical, analytical and statistical computations are )] TJ ET
BT 34.016 371.245 Td /F1 12.0 Tf [(routine affairs for chemical engineers. They usually prefer a single software to solve their )] TJ ET
BT 34.016 356.593 Td /F1 12.0 Tf [(computational problems, and at present, MATLAB has emerged as a powerful computational )] TJ ET
BT 34.016 341.941 Td /F1 12.0 Tf [(language, which is preferably used for this purpose, due to its built-in functions and toolboxes. )] TJ ET
BT 34.016 327.289 Td /F1 12.0 Tf [(Considering the needs and convenience of the students, the author has made an attempt to write )] TJ ET
BT 34.016 312.637 Td /F1 12.0 Tf [(this book, which explains the various concepts of MATLAB in a systematic way and makes its )] TJ ET
BT 34.016 297.985 Td /F1 12.0 Tf [(readers proficient in using MATLAB for computing. It mainly focuses on the applications of )] TJ ET
BT 34.016 283.333 Td /F1 12.0 Tf [(MATLAB, rather than its use in programming basic numerical algorithms. Commencing with the )] TJ ET
BT 34.016 268.681 Td /F1 12.0 Tf [(introduction to MATLAB, the text covers vector and matrix computations, solution of linear and non-)] TJ ET
BT 34.016 254.029 Td /F1 12.0 Tf [(linear equations, differentiation and integration, and solution of ordinary and partial differential )] TJ ET
BT 34.016 239.377 Td /F1 12.0 Tf [(equations. Next, analytical computations using the Symbolic Math Toolbox and statistical )] TJ ET
BT 34.016 224.725 Td /F1 12.0 Tf [(computations using the Statistics and Machine Learning Toolbox are explained. Finally, the book )] TJ ET
BT 34.016 210.073 Td /F1 12.0 Tf [(describes various curve fitting techniques using the Curve Fitting Toolbox. Inclusion of all these )] TJ ET
BT 34.016 195.421 Td /F1 12.0 Tf [(advanced-level topics in the book stands it out from the rest. KEY FEATURES ? Numerous )] TJ ET
BT 34.016 180.769 Td /F1 12.0 Tf [(worked-out examples to enable the readers understand the steps involved in solving the chemical )] TJ ET
BT 34.016 166.117 Td /F1 12.0 Tf [(engineering problems ? MATLAB codes to explain the computational techniques ? Several )] TJ ET
BT 34.016 151.465 Td /F1 12.0 Tf [(snapshots to help the readers understand the step-by-step procedures of using the toolboxes ? )] TJ ET
BT 34.016 136.813 Td /F1 12.0 Tf [(Chapter-end exercises, including short-answer questions and numerical problems ? Appendix )] TJ ET
BT 34.016 122.161 Td /F1 12.0 Tf [(comprising the definitions of some important and special matrices ? Supplemented with Solutions )] TJ ET
BT 34.016 107.509 Td /F1 12.0 Tf [(Manual containing complete detailed solutions to the unsolved analytical problems ? Accessibility )] TJ ET
BT 34.016 92.857 Td /F1 12.0 Tf [(of selected colour figures \(including screenshots and results/outputs of the programs\) cited in the )] TJ ET
BT 34.016 78.205 Td /F1 12.0 Tf [(text at www.phindia.com/Pallab_Ghosh. TARGET AUDIENCE • BE/B.Tech \(Chemical )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(Engineering\) • ME/M.Tech \(Chemical Engineering\))] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(Computational Statistics Handbook with MATLAB)] TJ ET
0.24 w 0 J [ ] 0 d
34.016 779.521 m 296.780 779.521 l S
BT 296.780 781.501 Td /F1 12.0 Tf [( Wendy L. Martinez 2001-09-26 Approaching )] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(computational statistics through its theoretical aspects can be daunting. Often intimidated or )] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(distracted by the theory, researchers and students can lose sight of the actual goals and )] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(applications of the subject. What they need are its key concepts, an understanding of its methods, )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(experience with its implementation, and practice with)] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(Statistical and Computational Methods in Brain Image Analysis)] TJ ET
0.24 w 0 J [ ] 0 d
34.016 706.261 m 367.484 706.261 l S
BT 367.484 708.241 Td /F1 12.0 Tf [( Moo K. Chung 2013-07-23 The )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(massive amount of nonstandard high-dimensional brain imaging data being generated is often )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [(difficult to analyze using current techniques. This challenge in brain image analysis requires new )] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(computational approaches and solutions. But none of the research papers or books in the field )] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(describe the quantitative techniques with detailed illustrations of actual imaging data and computer )] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [(codes. Using MATLAB® and case study data sets, Statistical and Computational Methods in Brain )] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(Image Analysis is the first book to explicitly explain how to perform statistical analysis on brain )] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(imaging data. The book focuses on methodological issues in analyzing structural brain imaging )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(modalities such as MRI and DTI. Real imaging applications and examples elucidate the concepts )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(and methods. In addition, most of the brain imaging data sets and MATLAB codes are available on )] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(the author’s website. By supplying the data and codes, this book enables researchers to start their )] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(statistical analyses immediately. Also suitable for graduate students, it provides an understanding )] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(of the various statistical and computational methodologies used in the field as well as important )] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(and technically challenging topics.)] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(Statistical Modeling and Computation)] TJ ET
BT 232.100 503.113 Td /F1 12.0 Tf [( Dirk P. Kroese 2013-11-15 This textbook on statistical )] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(modeling and statistical inference will assist advanced undergraduate and graduate students. )] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(Statistical Modeling and Computation provides a unique introduction to modern Statistics from )] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(both classical and Bayesian perspectives. It also offers an integrated treatment of Mathematical )] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(Statistics and modern statistical computation, emphasizing statistical modeling, computational )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(techniques, and applications. Each of the three parts will cover topics essential to university )] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(courses. Part I covers the fundamentals of probability theory. In Part II, the authors introduce a )] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(wide variety of classical models that include, among others, linear regression and ANOVA models. )] TJ ET
BT 34.016 385.897 Td /F1 12.0 Tf [(In Part III, the authors address the statistical analysis and computation of various advanced )] TJ ET
BT 34.016 371.245 Td /F1 12.0 Tf [(models, such as generalized linear, state-space and Gaussian models. Particular attention is paid )] TJ ET
BT 34.016 356.593 Td /F1 12.0 Tf [(to fast Monte Carlo techniques for Bayesian inference on these models. Throughout the book the )] TJ ET
BT 34.016 341.941 Td /F1 12.0 Tf [(authors include a large number of illustrative examples and solved problems. The book also )] TJ ET
BT 34.016 327.289 Td /F1 12.0 Tf [(features a section with solutions, an appendix that serves as a MATLAB primer, and a )] TJ ET
BT 34.016 312.637 Td /F1 12.0 Tf [(mathematical supplement.?)] TJ ET
BT 34.016 297.985 Td /F1 12.0 Tf [(Statistics in Engineering)] TJ ET
BT 162.068 297.985 Td /F1 12.0 Tf [( Andrew Metcalfe 2019-01-25 Engineers are expected to design structures )] TJ ET
BT 34.016 283.333 Td /F1 12.0 Tf [(and machines that can operate in challenging and volatile environments, while allowing for )] TJ ET
BT 34.016 268.681 Td /F1 12.0 Tf [(variation in materials and noise in measurements and signals. Statistics in Engineering, Second )] TJ ET
BT 34.016 254.029 Td /F1 12.0 Tf [(Edition: With Examples in MATLAB and R covers the fundamentals of probability and statistics )] TJ ET
BT 34.016 239.377 Td /F1 12.0 Tf [(and explains how to use these basic techniques to estimate and model random variation in the )] TJ ET
BT 34.016 224.725 Td /F1 12.0 Tf [(context of engineering analysis and design in all types of environments. The first eight chapters )] TJ ET
BT 34.016 210.073 Td /F1 12.0 Tf [(cover probability and probability distributions, graphical displays of data and descriptive statistics, )] TJ ET
BT 34.016 195.421 Td /F1 12.0 Tf [(combinations of random variables and propagation of error, statistical inference, bivariate )] TJ ET
BT 34.016 180.769 Td /F1 12.0 Tf [(distributions and correlation, linear regression on a single predictor variable, and the measurement )] TJ ET
BT 34.016 166.117 Td /F1 12.0 Tf [(error model. This leads to chapters including multiple regression; comparisons of several means )] TJ ET
BT 34.016 151.465 Td /F1 12.0 Tf [(and split-plot designs together with analysis of variance; probability models; and sampling )] TJ ET
BT 34.016 136.813 Td /F1 12.0 Tf [(strategies. Distinctive features include: All examples based on work in industry, consulting to )] TJ ET
BT 34.016 122.161 Td /F1 12.0 Tf [(industry, and research for industry Examples and case studies include all engineering disciplines )] TJ ET
BT 34.016 107.509 Td /F1 12.0 Tf [(Emphasis on probabilistic modeling including decision trees, Markov chains and processes, and )] TJ ET
BT 34.016 92.857 Td /F1 12.0 Tf [(structure functions Intuitive explanations are followed by succinct mathematical justifications )] TJ ET
BT 34.016 78.205 Td /F1 12.0 Tf [(Emphasis on random number generation that is used for stochastic simulations of engineering )] TJ ET
BT 34.016 63.553 Td /F1 12.0 Tf [(systems, demonstration of key concepts, and implementation of bootstrap methods for inference )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(Use of MATLAB and the open source software R, both of which have an extensive range of )] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(statistical functions for standard analyses and also enable programing of specific applications Use )] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(of multiple regression for times series models and analysis of factorial and central composite )] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(designs Inclusion of topics such as Weibull analysis of failure times and split-plot designs that are )] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(commonly used in industry but are not usually included in introductory textbooks Experiments )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(designed to show fundamental concepts that have been tested with large classes working in small )] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(groups Website with additional materials that is regularly updated Andrew Metcalfe, David Green, )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(Andrew Smith, and Jonathan Tuke have taught probability and statistics to students of engineering )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [(at the University of Adelaide for many years and have substantial industry experience. Their )] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(current research includes applications to water resources engineering, mining, and )] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(telecommunications. Mahayaudin Mansor worked in banking and insurance before teaching )] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [(statistics and business mathematics at the Universiti Tun Abdul Razak Malaysia and is currently a )] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(researcher specializing in data analytics and quantitative research in the Health Economics and )] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(Social Policy Research Group at the Australian Centre for Precision Health, University of South )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(Australia. Tony Greenfield, formerly Head of Process Computing and Statistics at the British Iron )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(and Steel Research Association, is a statistical consultant. He has been awarded the Chambers )] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(Medal for outstanding services to the Royal Statistical Society; the George Box Medal by the )] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(European Network for Business and Industrial Statistics for Outstanding Contributions to Industrial )] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(Statistics; and the William G. Hunter Award by the American Society for Quality.)] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(Numerical, Symbolic and Statistical Computing for Chemical E)] TJ ET
BT 364.772 517.765 Td /F1 12.0 Tf [( Pallab Ghosh 2018-10-30 )] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(Computational Methods for Inverse Problems)] TJ ET
BT 274.772 503.113 Td /F1 12.0 Tf [( Curtis R. Vogel 2002 Provides a basic )] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(understanding of both the underlying mathematics and the computational methods used to solve )] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(inverse problems.)] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(A First Course in Machine Learning)] TJ ET
BT 222.080 459.157 Td /F1 12.0 Tf [( Simon Rogers 2016-10-14 "A First Course in Machine )] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(available. It combines rigor and precision with accessibility, starts from a detailed explanation of )] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the )] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(frontiers of the subject such as infinite mixture models, GPs, and MCMC." —Devdatt Dubhashi, )] TJ ET
BT 34.016 385.897 Td /F1 12.0 Tf [(Professor, Department of Computer Science and Engineering, Chalmers University, Sweden "This )] TJ ET
BT 34.016 371.245 Td /F1 12.0 Tf [(textbook manages to be easier to read than other comparable books in the subject while retaining )] TJ ET
BT 34.016 356.593 Td /F1 12.0 Tf [(all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering )] TJ ET
BT 34.016 341.941 Td /F1 12.0 Tf [(topics that have become mainstream in machine learning over the last decade." —Daniel Barbara, )] TJ ET
BT 34.016 327.289 Td /F1 12.0 Tf [(George Mason University, Fairfax, Virginia, USA "The new edition of A First Course in Machine )] TJ ET
BT 34.016 312.637 Td /F1 12.0 Tf [(Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in )] TJ ET
BT 34.016 297.985 Td /F1 12.0 Tf [(machine learning. The book introduces concepts such as mathematical modeling, inference, and )] TJ ET
BT 34.016 283.333 Td /F1 12.0 Tf [(prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and )] TJ ET
BT 34.016 268.681 Td /F1 12.0 Tf [(probability theory that the reader needs to understand these concepts." —Daniel Ortiz-Arroyo, )] TJ ET
BT 34.016 254.029 Td /F1 12.0 Tf [(Associate Professor, Aalborg University Esbjerg, Denmark "I was impressed by how closely the )] TJ ET
BT 34.016 239.377 Td /F1 12.0 Tf [(material aligns with the needs of an introductory course on machine learning, which is its greatest )] TJ ET
BT 34.016 224.725 Td /F1 12.0 Tf [(strength...Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an )] TJ ET
BT 34.016 210.073 Td /F1 12.0 Tf [(introductory course and one that I will be looking at for my own students in coming months." )] TJ ET
BT 34.016 195.421 Td /F1 12.0 Tf [(—David Clifton, University of Oxford, UK "The first edition of this book was already an excellent )] TJ ET
BT 34.016 180.769 Td /F1 12.0 Tf [(introductory text on machine learning for an advanced undergraduate or taught masters level )] TJ ET
BT 34.016 166.117 Td /F1 12.0 Tf [(course, or indeed for anybody who wants to learn about an interesting and important field of )] TJ ET
BT 34.016 151.465 Td /F1 12.0 Tf [(computer science. The additional chapters of advanced material on Gaussian process, MCMC and )] TJ ET
BT 34.016 136.813 Td /F1 12.0 Tf [(mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and )] TJ ET
BT 34.016 122.161 Td /F1 12.0 Tf [(readable exposition of the basics contained in the first part of the book." —Gavin Cawley, Senior )] TJ ET
BT 34.016 107.509 Td /F1 12.0 Tf [(Lecturer, School of Computing Sciences, University of East Anglia, UK "This book could be used )] TJ ET
BT 34.016 92.857 Td /F1 12.0 Tf [(for junior/senior undergraduate students or first-year graduate students, as well as individuals who )] TJ ET
BT 34.016 78.205 Td /F1 12.0 Tf [(want to explore the field of machine learning...The book introduces not only the concepts but the )] TJ ET
BT 34.016 63.553 Td /F1 12.0 Tf [(underlying ideas on algorithm implementation from a critical thinking perspective." —Guangzhi Qu, )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(Oakland University, Rochester, Michigan, USA)] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(Computational Statistics Handbook with MATLAB)] TJ ET
0.24 w 0 J [ ] 0 d
34.016 779.521 m 296.780 779.521 l S
BT 296.780 781.501 Td /F1 12.0 Tf [( Wendy L. Martinez 2007-12-20 As with the )] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(bestselling first edition, Computational Statistics Handbook with MATLAB, Second Edition covers )] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(some of the most commonly used contemporary techniques in computational statistics. With a )] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(strong, practical focus on implementing the methods, the authors include algorithmic descriptions )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(of the procedures as well as)] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(Handbook of Computational Statistics)] TJ ET
BT 234.104 708.241 Td /F1 12.0 Tf [( James E. Gentle 2012-07-06 The Handbook of )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(Computational Statistics - Concepts and Methods \(second edition\) is a revision of the first edition )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [(published in 2004, and contains additional comments and updated information on the existing )] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(chapters, as well as three new chapters addressing recent work in the field of computational )] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with )] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [("How Computational Statistics became the backbone of modern data science" \(Ch.1\): an overview )] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(of the field of Computational Statistics, how it emerged as a separate discipline, and how its own )] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(development mirrored that of hardware and software, including a discussion of current active )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(research. The second part \(Chs. 2 - 15\) presents several topics in the supporting field of statistical )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some )] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(of the basic methodologies for transformation, database handling, high-dimensional data and )] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(graphics treatment are discussed. The third part \(Chs. 16 - 33\) focuses on statistical methodology. )] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(Special attention is given to smoothing, iterative procedures, simulation and visualization of )] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(multivariate data. Lastly, a set of selected applications \(Chs. 34 - 38\) like Bioinformatics, Medical )] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of )] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(computational statistics in real-world applications.)] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(Stochastic Simulation and Applications in Finance with MATLAB Programs)] TJ ET
BT 430.160 473.809 Td /F1 12.0 Tf [( Huu Tue Huynh 2011-)] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(11-21 Stochastic Simulation and Applications in Finance with MATLAB Programs explains the )] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(fundamentals of Monte Carlo simulation techniques, their use in the numerical resolution of )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(stochastic differential equations and their current applications in finance. Building on an integrated )] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(approach, it provides a pedagogical treatment of the need-to-know materials in risk management )] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(and financial engineering. The book takes readers through the basic concepts, covering the most )] TJ ET
BT 34.016 385.897 Td /F1 12.0 Tf [(recent research and problems in the area, including: the quadratic re-sampling technique, the )] TJ ET
BT 34.016 371.245 Td /F1 12.0 Tf [(Least Squared Method, the dynamic programming and Stratified State Aggregation technique to )] TJ ET
BT 34.016 356.593 Td /F1 12.0 Tf [(price American options, the extreme value simulation technique to price exotic options and the )] TJ ET
BT 34.016 341.941 Td /F1 12.0 Tf [(retrieval of volatility method to estimate Greeks. The authors also present modern term structure of )] TJ ET
BT 34.016 327.289 Td /F1 12.0 Tf [(interest rate models and pricing swaptions with the BGM market model, and give a full explanation )] TJ ET
BT 34.016 312.637 Td /F1 12.0 Tf [(of corporate securities valuation and credit risk based on the structural approach of Merton. Case )] TJ ET
BT 34.016 297.985 Td /F1 12.0 Tf [(studies on financial guarantees illustrate how to implement the simulation techniques in pricing )] TJ ET
BT 34.016 283.333 Td /F1 12.0 Tf [(and hedging. NOTE TO READER: The CD has been converted to URL. Go to the following )] TJ ET
BT 34.016 268.681 Td /F1 12.0 Tf [(website www.wiley.com/go/huyhnstochastic which provides MATLAB programs for the practical )] TJ ET
BT 34.016 254.029 Td /F1 12.0 Tf [(examples and case studies, which will give the reader confidence in using and adapting specific )] TJ ET
BT 34.016 239.377 Td /F1 12.0 Tf [(ways to solve problems involving stochastic processes in finance.)] TJ ET
BT 34.016 224.725 Td /F1 12.0 Tf [(Computational Finance)] TJ ET
0.24 w 0 J [ ] 0 d
34.016 222.745 m 157.400 222.745 l S
BT 157.400 224.725 Td /F1 12.0 Tf [( Francesco Cesarone 2020-06-11 Computational finance is increasingly )] TJ ET
BT 34.016 210.073 Td /F1 12.0 Tf [(important in the financial industry, as a necessary instrument for applying theoretical models to )] TJ ET
BT 34.016 195.421 Td /F1 12.0 Tf [(real-world challenges. Indeed, many models used in practice involve complex mathematical )] TJ ET
BT 34.016 180.769 Td /F1 12.0 Tf [(problems, for which an exact or a closed-form solution is not available. Consequently, we need to )] TJ ET
BT 34.016 166.117 Td /F1 12.0 Tf [(rely on computational techniques and specific numerical algorithms. This book combines )] TJ ET
BT 34.016 151.465 Td /F1 12.0 Tf [(theoretical concepts with practical implementation. Furthermore, the numerical solution of models )] TJ ET
BT 34.016 136.813 Td /F1 12.0 Tf [(is exploited, both to enhance the understanding of some mathematical and statistical notions, and )] TJ ET
BT 34.016 122.161 Td /F1 12.0 Tf [(to acquire sound programming skills in MATLAB®, which is useful for several other programming )] TJ ET
BT 34.016 107.509 Td /F1 12.0 Tf [(languages also. The material assumes the reader has a relatively limited knowledge of )] TJ ET
BT 34.016 92.857 Td /F1 12.0 Tf [(mathematics, probability, and statistics. Hence, the book contains a short description of the )] TJ ET
BT 34.016 78.205 Td /F1 12.0 Tf [(fundamental tools needed to address the two main fields of quantitative finance: portfolio selection )] TJ ET
BT 34.016 63.553 Td /F1 12.0 Tf [(and derivatives pricing. Both fields are developed here, with a particular emphasis on portfolio )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(selection, where the author includes an overview of recent approaches. The book gradually takes )] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(the reader from a basic to medium level of expertise by using examples and exercises to simplify )] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(the understanding of complex models in finance, giving them the ability to place financial models in )] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(a computational setting. The book is ideal for courses focusing on quantitative finance, asset )] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(management, mathematical methods for economics and finance, investment banking, and )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(corporate finance.)] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(Applied Mathematics for the Analysis of Biomedical Data)] TJ ET
BT 334.796 708.241 Td /F1 12.0 Tf [( Peter J. Costa 2017-03-27 Features a )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(practical approach to the analysis of biomedical data via mathematical methods and provides a )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [(MATLAB® toolbox for the collection, visualization, and evaluation of experimental and real-life )] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(data Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB® )] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(presents a practical approach to the task that biological scientists face when analyzing data. The )] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [(primary focus is on the application of mathematical models and scientific computing methods to )] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(provide insight into the behavior of biological systems. The author draws upon his experience in )] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(academia, industry, and government–sponsored research as well as his expertise in MATLAB to )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(produce a suite of computer programs with applications in epidemiology, machine learning, and )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(biostatistics. These models are derived from real–world data and concerns. Among the topics )] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(included are the spread of infectious disease \(HIV/AIDS\) through a population, statistical pattern )] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(recognition methods to determine the presence of disease in a diagnostic sample, and the )] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(fundamentals of hypothesis testing. In addition, the author uses his professional experiences to )] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(present unique case studies whose analyses provide detailed insights into biological systems and )] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(the problems inherent in their examination. The book contains a well-developed and tested set of )] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(MATLAB functions that act as a general toolbox for practitioners of quantitative biology and )] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(biostatistics. This combination of MATLAB functions and practical tips amplifies the book’s )] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(technical merit and value to industry professionals. Through numerous examples and sample code )] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(blocks, the book provides readers with illustrations of MATLAB programming. Moreover, the )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(associated toolbox permits readers to engage in the process of data analysis without needing to )] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(delve deeply into the mathematical theory. This gives an accessible view of the material for )] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(readers with varied backgrounds. As a result, the book provides a streamlined framework for the )] TJ ET
BT 34.016 385.897 Td /F1 12.0 Tf [(development of mathematical models, algorithms, and the corresponding computer code. In )] TJ ET
BT 34.016 371.245 Td /F1 12.0 Tf [(addition, the book features: Real–world computational procedures that can be readily applied to )] TJ ET
BT 34.016 356.593 Td /F1 12.0 Tf [(similar problems without the need for keen mathematical acumen Clear delineation of topics to )] TJ ET
BT 34.016 341.941 Td /F1 12.0 Tf [(accelerate access to data analysis Access to a book companion website containing the MATLAB )] TJ ET
BT 34.016 327.289 Td /F1 12.0 Tf [(toolbox created for this book, as well as a Solutions Manual with solutions to selected exercises )] TJ ET
BT 34.016 312.637 Td /F1 12.0 Tf [(Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB® is an )] TJ ET
BT 34.016 297.985 Td /F1 12.0 Tf [(excellent textbook for students in mathematics, biostatistics, the life and social sciences, and )] TJ ET
BT 34.016 283.333 Td /F1 12.0 Tf [(quantitative, computational, and mathematical biology. This book is also an ideal reference for )] TJ ET
BT 34.016 268.681 Td /F1 12.0 Tf [(industrial scientists, biostatisticians, product development scientists, and practitioners who use )] TJ ET
BT 34.016 254.029 Td /F1 12.0 Tf [(mathematical models of biological systems in biomedical research, medical device development, )] TJ ET
BT 34.016 239.377 Td /F1 12.0 Tf [(and pharmaceutical submissions.)] TJ ET
BT 34.016 224.725 Td /F1 12.0 Tf [(Fundamentals of Data Science with MATLAB)] TJ ET
BT 274.112 224.725 Td /F1 12.0 Tf [( Arash Karimpour 2020-07-31 )] TJ ET
BT 34.016 210.073 Td /F1 12.0 Tf [(Practical Numerical and Scientific Computing with MATLAB® and Python)] TJ ET
BT 422.324 210.073 Td /F1 12.0 Tf [( Eihab B. M. Bashier )] TJ ET
BT 34.016 195.421 Td /F1 12.0 Tf [(2020-03-18 Practical Numerical and Scientific Computing with MATLAB® and Python )] TJ ET
BT 34.016 180.769 Td /F1 12.0 Tf [(concentrates on the practical aspects of numerical analysis and linear and non-linear )] TJ ET
BT 34.016 166.117 Td /F1 12.0 Tf [(programming. It discusses the methods for solving different types of mathematical problems using )] TJ ET
BT 34.016 151.465 Td /F1 12.0 Tf [(MATLAB and Python. Although the book focuses on the approximation problem rather than on )] TJ ET
BT 34.016 136.813 Td /F1 12.0 Tf [(error analysis of mathematical problems, it provides practical ways to calculate errors. The book is )] TJ ET
BT 34.016 122.161 Td /F1 12.0 Tf [(divided into three parts, covering topics in numerical linear algebra, methods of interpolation, )] TJ ET
BT 34.016 107.509 Td /F1 12.0 Tf [(numerical differentiation and integration, solutions of differential equations, linear and non-linear )] TJ ET
BT 34.016 92.857 Td /F1 12.0 Tf [(programming problems, and optimal control problems. This book has the following advantages: It )] TJ ET
BT 34.016 78.205 Td /F1 12.0 Tf [(adopts the programming languages, MATLAB and Python, which are widely used among )] TJ ET
BT 34.016 63.553 Td /F1 12.0 Tf [(academics, scientists, and engineers, for ease of use and contain many libraries covering many )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(scientific and engineering fields. It contains topics that are rarely found in other numerical analysis )] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(books, such as ill-conditioned linear systems and methods of regularization to stabilize their )] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(solutions, nonstandard finite differences methods for solutions of ordinary differential equations, )] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(and the computations of the optimal controls. It provides a practical explanation of how to apply )] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(these topics using MATLAB and Python. It discusses software libraries to solve mathematical )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(problems, such as software Gekko, pulp, and pyomo. These libraries use Python for solutions to )] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(differential equations and static and dynamic optimization problems. Most programs in the book )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(can be applied in versions prior to MATLAB 2017b and Python 3.7.4 without the need to modify )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [(these programs. This book is aimed at newcomers and middle-level students, as well as members )] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(of the scientific community who are interested in solving math problems using MATLAB or Python.)] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(Computational Statistics)] TJ ET
BT 162.728 649.633 Td /F1 12.0 Tf [( Geof H. Givens 2012-10-09 This new edition continues to serve as a )] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [(comprehensive guide to modern and classical methods of statistical computing. The book is )] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(comprised of four main parts spanning the field: Optimization Integration and Simulation )] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(Bootstrapping Density Estimation and Smoothing Within these sections,each chapter includes a )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(comprehensive introduction and step-by-step implementation summaries to accompany the )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(explanations of key methods. The new edition includes updated coverage and existing topics as )] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(well as new topics such as adaptive MCMC and bootstrapping for correlated data. The book )] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(website now includes comprehensive R code for the entire book. There are extensive exercises, )] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(real examples, and helpful insights about how to use the methods in practice.)] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(The Elements of Statistical Learning)] TJ ET
BT 226.100 517.765 Td /F1 12.0 Tf [( Trevor Hastie 2013-11-11 During the past decade there has )] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(been an explosion in computation and information technology. With it have come vast amounts of )] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of )] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(understanding these data has led to the development of new tools in the field of statistics, and )] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(spawned new areas such as data mining, machine learning, and bioinformatics. Many of these )] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(tools have common underpinnings but are often expressed with different terminology. This book )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(describes the important ideas in these areas in a common conceptual framework. While the )] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are )] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(given, with a liberal use of color graphics. It should be a valuable resource for statisticians and )] TJ ET
BT 34.016 385.897 Td /F1 12.0 Tf [(anyone interested in data mining in science or industry. The book’s coverage is broad, from )] TJ ET
BT 34.016 371.245 Td /F1 12.0 Tf [(supervised learning \(prediction\) to unsupervised learning. The many topics include neural )] TJ ET
BT 34.016 356.593 Td /F1 12.0 Tf [(networks, support vector machines, classification trees and boosting---the first comprehensive )] TJ ET
BT 34.016 341.941 Td /F1 12.0 Tf [(treatment of this topic in any book. This major new edition features many topics not covered in the )] TJ ET
BT 34.016 327.289 Td /F1 12.0 Tf [(original, including graphical models, random forests, ensemble methods, least angle regression & )] TJ ET
BT 34.016 312.637 Td /F1 12.0 Tf [(path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is )] TJ ET
BT 34.016 297.985 Td /F1 12.0 Tf [(also a chapter on methods for “wide” data \(p bigger than n\), including multiple testing and false )] TJ ET
BT 34.016 283.333 Td /F1 12.0 Tf [(discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of )] TJ ET
BT 34.016 268.681 Td /F1 12.0 Tf [(statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani )] TJ ET
BT 34.016 254.029 Td /F1 12.0 Tf [(developed generalized additive models and wrote a popular book of that title. Hastie co-developed )] TJ ET
BT 34.016 239.377 Td /F1 12.0 Tf [(much of the statistical modeling software and environment in R/S-PLUS and invented principal )] TJ ET
BT 34.016 224.725 Td /F1 12.0 Tf [(curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An )] TJ ET
BT 34.016 210.073 Td /F1 12.0 Tf [(Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including )] TJ ET
BT 34.016 195.421 Td /F1 12.0 Tf [(CART, MARS, projection pursuit and gradient boosting.)] TJ ET
BT 34.016 180.769 Td /F1 12.0 Tf [(Handbook of Monte Carlo Methods)] TJ ET
BT 220.100 180.769 Td /F1 12.0 Tf [( Dirk P. Kroese 2013-06-06 A comprehensive overview of )] TJ ET
BT 34.016 166.117 Td /F1 12.0 Tf [(Monte Carlo simulation that explores the latest topics, techniques, and real-world applications )] TJ ET
BT 34.016 151.465 Td /F1 12.0 Tf [(More and more of today’s numerical problems found in engineering and finance are solved )] TJ ET
BT 34.016 136.813 Td /F1 12.0 Tf [(through Monte Carlo methods. The heightened popularity of these methods and their continuing )] TJ ET
BT 34.016 122.161 Td /F1 12.0 Tf [(development makes it important for researchers to have a comprehensive understanding of the )] TJ ET
BT 34.016 107.509 Td /F1 12.0 Tf [(Monte Carlo approach. Handbook of Monte Carlo Methods provides the theory, algorithms, and )] TJ ET
BT 34.016 92.857 Td /F1 12.0 Tf [(applications that helps provide a thorough understanding of the emerging dynamics of this rapidly-)] TJ ET
BT 34.016 78.205 Td /F1 12.0 Tf [(growing field. The authors begin with a discussion of fundamentals such as how to generate )] TJ ET
BT 34.016 63.553 Td /F1 12.0 Tf [(random numbers on a computer. Subsequent chapters discuss key Monte Carlo topics and )] TJ ET
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BT 34.016 796.153 Td /F1 12.0 Tf [(methods, including: Random variable and stochastic process generation Markov chain Monte )] TJ ET
BT 34.016 781.501 Td /F1 12.0 Tf [(Carlo, featuring key algorithms such as the Metropolis-Hastings method, the Gibbs sampler, and )] TJ ET
BT 34.016 766.849 Td /F1 12.0 Tf [(hit-and-run Discrete-event simulation Techniques for the statistical analysis of simulation data )] TJ ET
BT 34.016 752.197 Td /F1 12.0 Tf [(including the delta method, steady-state estimation, and kernel density estimation Variance )] TJ ET
BT 34.016 737.545 Td /F1 12.0 Tf [(reduction, including importance sampling, latin hypercube sampling, and conditional Monte Carlo )] TJ ET
BT 34.016 722.893 Td /F1 12.0 Tf [(Estimation of derivatives and sensitivity analysis Advanced topics including cross-entropy, rare )] TJ ET
BT 34.016 708.241 Td /F1 12.0 Tf [(events, kernel density estimation, quasi Monte Carlo, particle systems, and randomized )] TJ ET
BT 34.016 693.589 Td /F1 12.0 Tf [(optimization The presented theoretical concepts are illustrated with worked examples that use )] TJ ET
BT 34.016 678.937 Td /F1 12.0 Tf [(MATLAB®, a related Web site houses the MATLAB® code, allowing readers to work hands-on )] TJ ET
BT 34.016 664.285 Td /F1 12.0 Tf [(with the material and also features the author's own lecture notes on Monte Carlo methods. )] TJ ET
BT 34.016 649.633 Td /F1 12.0 Tf [(Detailed appendices provide background material on probability theory, stochastic processes, and )] TJ ET
BT 34.016 634.981 Td /F1 12.0 Tf [(mathematical statistics as well as the key optimization concepts and techniques that are relevant )] TJ ET
BT 34.016 620.329 Td /F1 12.0 Tf [(to Monte Carlo simulation. Handbook of Monte Carlo Methods is an excellent reference for applied )] TJ ET
BT 34.016 605.677 Td /F1 12.0 Tf [(statisticians and practitioners working in the fields of engineering and finance who use or would )] TJ ET
BT 34.016 591.025 Td /F1 12.0 Tf [(like to learn how to use Monte Carlo in their research. It is also a suitable supplement for courses )] TJ ET
BT 34.016 576.373 Td /F1 12.0 Tf [(on Monte Carlo methods and computational statistics at the upper-undergraduate and graduate )] TJ ET
BT 34.016 561.721 Td /F1 12.0 Tf [(levels.)] TJ ET
BT 34.016 547.069 Td /F1 12.0 Tf [(Applied Statistics Using SPSS, STATISTICA and MATLAB)] TJ ET
BT 345.464 547.069 Td /F1 12.0 Tf [( Joaquim P. Marques de Sá 2013-03-)] TJ ET
BT 34.016 532.417 Td /F1 12.0 Tf [(09 Assuming no previous statistics education, this practical reference provides a comprehensive )] TJ ET
BT 34.016 517.765 Td /F1 12.0 Tf [(introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the )] TJ ET
BT 34.016 503.113 Td /F1 12.0 Tf [(most common software package. Intended for anyone needing to apply statistical analysis to a )] TJ ET
BT 34.016 488.461 Td /F1 12.0 Tf [(large variety of science and enigineering problems, the book explains and shows how to use )] TJ ET
BT 34.016 473.809 Td /F1 12.0 Tf [(SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, )] TJ ET
BT 34.016 459.157 Td /F1 12.0 Tf [(classification and regression, factor analysis, survival data and directional statistics. It concisely )] TJ ET
BT 34.016 444.505 Td /F1 12.0 Tf [(explains key concepts and methods, illustrated by practical examples using real data, and includes )] TJ ET
BT 34.016 429.853 Td /F1 12.0 Tf [(a CD-ROM with software tools and data sets used in the examples and exercises. Readers learn )] TJ ET
BT 34.016 415.201 Td /F1 12.0 Tf [(which software tools to apply and also gain insights into the comparative capabilities of the primary )] TJ ET
BT 34.016 400.549 Td /F1 12.0 Tf [(software packages.)] TJ ET
BT 36.266 361.154 Td /F1 8.0 Tf [(computational-statistics-handbook-with-matlab-solutions)] TJ ET
BT 330.910 361.361 Td /F1 8.0 Tf [(Downloaded from )] TJ ET
BT 395.822 361.154 Td /F1 8.0 Tf [(wagnerplein.nl)] TJ ET
BT 447.398 361.361 Td /F1 8.0 Tf [( on December 3, 2022 by guest)] TJ ET
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