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Computational Probability, John H. Drew; Diane L. Evans; Andrew G. Glen; Lawr


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Автор: John H. Drew; Diane L. Evans; Andrew G. Glen; Lawr
Название:  Computational Probability
ISBN: 9783319433219
Издательство: Springer
Классификация:




ISBN-10: 3319433210
Обложка/Формат: Hardback
Страницы: 336
Вес: 0.68 кг.
Дата издания: 2017
Серия: International series in operations research & management science
Язык: English
Издание: 2nd ed. 2017
Иллюстрации: 20 tables, color; 25 illustrations, color; 60 illustrations, black and white; xi, 336 p. 85 illus., 25 illus. in color.
Размер: 234 x 156 x 21
Читательская аудитория: Professional & vocational
Подзаголовок: Algorithms and applications in the mathematical sciences
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This new edition includes the latest advances and developments in computational probability involving A Probability Programming Language (APPL). The book examines and presents, in a systematic manner, computational probability methods that encompass data structures and algorithms. The developed techniques address problems that require exact probability calculations, many of which have been considered intractable in the past. The book addresses the plight of the probabilist by providing algorithms to perform calculations associated with random variables.
Computational Probability: Algorithms and Applications in the Mathematical Sciences, 2nd Edition begins with an introductory chapter that contains short examples involving the elementary use of APPL. Chapter 2 reviews the Maple data structures and functions necessary to implement APPL. This is followed by a discussion of the development of the data structures and algorithms (Chapters 3–6 for continuous random variables and Chapters 7–9 for discrete random variables) used in APPL. The book concludes with Chapters 10–15 introducing a sampling of various applications in the mathematical sciences. This book should appeal to researchers in the mathematical sciences with an interest in applied probability and instructors using the book for a special topics course in computational probability taught in a mathematics, statistics, operations research, management science, or industrial engineering department.

Дополнительное описание: Computational Probability.- Maple for APPL.- Data Structures and Simple Algorithms.- Transformations of Random Variables.- Bivariate Transformations of Random Variables.- Products of Random Variables.- Data Structures and Simple Algorithms.- Sums of Indep



Theory of Probability and Random Processes

Автор: Koralov
Название: Theory of Probability and Random Processes
ISBN: 3540254846 ISBN-13(EAN): 9783540254843
Издательство: Springer
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Цена: 8384.00 р.
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Описание: A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of the content of this bookIt is structured in two parts: the first part providing a detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory. The second part includes the theory of stationary random processes, martingales, generalized random processes, Brownian motion, stochastic integrals, and stochastic differential equations. One section is devoted to the theory of Gibbs random fields.This material is essential to many undergraduate and graduate courses. The book can also serve as a reference for scientists using modern probability theory in their research.

Elementary probability for applications

Автор: Durrett, Rick
Название: Elementary probability for applications
ISBN: 0521867568 ISBN-13(EAN): 9780521867566
Издательство: Cambridge Academ
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Цена: 10611.00 р.
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Описание: This is a perfect one-semester introduction to probability, for students who are familiar with basic calculus. The lively style reflects the author`s philosophy that the best way to learn probability is to see it in action, and he gives over 200 examples from genetics, sports, finance, and current events.

Computational Probability Applications

Автор: Andrew G. Glen; Lawrence M. Leemis
Название: Computational Probability Applications
ISBN: 3319433156 ISBN-13(EAN): 9783319433158
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This focuses on the developing field of building probability models with the power of symbolic algebra systems. The book combines the uses of symbolic algebra with probabilistic/stochastic application and highlights the applications in a variety of contexts. The research explored in each chapter is unified by the use of A Probability Programming Language (APPL) to achieve the modeling objectives. APPL, as a research tool, enables a probabilist or statistician the ability to explore new ideas, methods, and models. Furthermore, as an open-source language, it sets the foundation for future algorithms to augment the original code.

Computational Probability Applications is comprised of fifteen chapters, each presenting a specific application of computational probability using the APPL modeling and computer language. The chapter topics include using inverse gamma as a survival distribution, linear approximations of probability density functions, and also moment-ratio diagrams for univariate distributions. These works highlight interesting examples, often done by undergraduate students and graduate students that can serve as templates for future work. In addition, this book should appeal to researchers and practitioners in a range of fields including probability, statistics, engineering, finance, neuroscience, and economics.
Computational Geometry

Автор: de Berg
Название: Computational Geometry
ISBN: 3540779736 ISBN-13(EAN): 9783540779735
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This introduction to computational geometry focuses on algorithms. Modern insights in computational geometry are used to provide solutions that are both efficient and easy to understand and implement.

Computational complexity

Автор: Arora, Sanjeev Barak, Boaz
Название: Computational complexity
ISBN: 0521424267 ISBN-13(EAN): 9780521424264
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: Describes recent achievements and classical results of computational complexity theory, including interactive proofs, PCP, derandomization, and quantum computation. It can be used as a reference, for self-study, or as a beginning graduate textbook. More than 300 exercises are included.

Computational Statistics Handbook with MATLAB

Автор: Martinez Wendy L.
Название: Computational Statistics Handbook with MATLAB
ISBN: 1466592737 ISBN-13(EAN): 9781466592735
Издательство: Taylor&Francis
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Цена: 16078.00 р.
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Описание:

A Strong Practical Focus on Applications and Algorithms
Computational Statistics Handbook with MATLAB(R), Third Edition covers today's most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions. The text keeps theoretical concepts to a minimum, emphasizing the implementation of the methods.

New to the Third Edition
This third edition is updated with the latest version of MATLAB and the corresponding version of the Statistics and Machine Learning Toolbox. It also incorporates new sections on the nearest neighbor classifier, support vector machines, model checking and regularization, partial least squares regression, and multivariate adaptive regression splines.

Web Resource
The authors include algorithmic descriptions of the procedures as well as examples that illustrate the use of algorithms in data analysis. The MATLAB code, examples, and data sets are available online.

Computational complexity

Автор: Oded Goldreich
Название: Computational complexity
ISBN: 052188473X ISBN-13(EAN): 9780521884730
Издательство: Cambridge Academ
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Цена: 11722.00 р.
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Описание: A conceptual introduction to the study of the intrinsic complexity of computational tasks. It will serve advanced undergraduate and graduate students, either as a textbook or for self-study. It provides explanations of the various sub-areas of complexity theory such as hardness amplification, pseudorandomness, and probabilistic proof systems.

Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance

Автор: Chung K. L., AitSahlia Farid
Название: Elementary Probability Theory / With Stochastic Processes and an Introduction to Mathematical Finance
ISBN: 038795578X ISBN-13(EAN): 9780387955780
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Provides an introduction to probability theory and its applications.

Foundations of Modern Probability

Автор: Kallenberg Olav
Название: Foundations of Modern Probability
ISBN: 0387953132 ISBN-13(EAN): 9780387953137
Издательство: Springer
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Цена: 12577.00 р.
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Описание: About the first edition: To sum it up, one can perhaps see a distinction among advanced probability books into those which are original and path-breaking in content, such as Levy's and Doob's well-known examples, and those which aim primarily to assimilate known material, such as Loeve's and more recently Rogers and Williams'. Seen in this light, Kallenberg's present book would have to qualify as the assimilation of probability par excellence. It is a great edifice of material, clearly and ingeniously presented, without any non-mathematical distractions. Readers wishing to venture into it may do so with confidence that they are in very capable hands.- Mathematical ReviewsThis new edition contains four new chapters as well as numerous improvements throughout the text. There are new chapters on measure Theory-key results, ergodic properties of Markov processes and large deviations.

Response Surface Methodology

Автор: Myers Raymond H.
Название: Response Surface Methodology
ISBN: 1118916018 ISBN-13(EAN): 9781118916018
Издательство: Wiley
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Цена: 20109.00 р.
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Описание: Praise for the Third Edition: This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.

A Basic Course in Measure and Probability

Автор: Leadbetter
Название: A Basic Course in Measure and Probability
ISBN: 1107652529 ISBN-13(EAN): 9781107652521
Издательство: Cambridge Academ
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Цена: 7286.00 р.
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Описание: This concise introduction covers all of the measure theory and probability most useful for statisticians. Originating from the authors` own graduate course, it is perfect for a two-term course or for self-study. It is especially useful to graduate students in related fields who want to shore up their mathematical foundation.

Intuitive Probability and Random Processes using MATLAB®

Автор: Kay
Название: Intuitive Probability and Random Processes using MATLAB®
ISBN: 0387241574 ISBN-13(EAN): 9780387241579
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Offering an introduction to probability and random processes, this book merges theory with practice. It is suitable for undergraduate and first-year graduate students in engineering, practicing engineers as well as others having appropriate mathematical background.


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