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Intermediate Probability - A Computational Approach, Paolella


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Цена: 134060.00T
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Автор: Paolella
Название:  Intermediate Probability - A Computational Approach
ISBN: 9780470026373
Издательство: Wiley
Классификация:
ISBN-10: 0470026375
Обложка/Формат: Hardback
Страницы: 430
Вес: 0.95 кг.
Дата издания: 24.08.2007
Язык: English
Иллюстрации: Black & white illustrations
Размер: 249 x 172 x 30
Читательская аудитория: Professional & vocational
Основная тема: Applied Probability & Statistics
Подзаголовок: A computational approach
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Many of the traditional and older advanced texts do not cover the newer topics in probability such as Paretian distribution and noncentral distributions and saddlepoint approximation. The material is only covered in research monographs or in journal articles.

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: 55890.00 T
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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: 73920.00 T
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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.

Digital Dice: Computational Solutions to Practical Probability Problems (New in Paperback)

Автор: Nahin Paul J.
Название: Digital Dice: Computational Solutions to Practical Probability Problems (New in Paperback)
ISBN: 0691158215 ISBN-13(EAN): 9780691158211
Издательство: Wiley
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Цена: 17940.00 T
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Описание: Some probability problems are so difficult that they stump the smartest mathematicians. But even the hardest of these problems can often be solved with a computer and a Monte Carlo simulation, in which a random-number generator simulates a physical process, such as a million rolls of a pair of dice. This is what Digital Dice is all about: how to ge

Computational Probability

Автор: John H. Drew; Diane L. Evans; Andrew G. Glen; Lawr
Название: Computational Probability
ISBN: 3319433210 ISBN-13(EAN): 9783319433219
Издательство: Springer
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Цена: 121110.00 T
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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.

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: 121110.00 T
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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.

An Intermediate Course in Probability

Автор: Gut
Название: An Intermediate Course in Probability
ISBN: 1441901612 ISBN-13(EAN): 9781441901613
Издательство: Springer
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Цена: 74530.00 T
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Описание: This book covers the basic results and methods in probability theory. This new edition offers updated content, 100 additional problems for solution, and a new chapter glimpsing further topics such as stable distributions, domains of attraction and martingales.

Intermediate Statistics

Автор: Pelham
Название: Intermediate Statistics
ISBN: 1412994985 ISBN-13(EAN): 9781412994989
Издательство: Sage Publications
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Цена: 120390.00 T
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Описание: A student-friendly text which enables students to appreciate the logic of descriptive and inferential statistics, and understand which techniques are best suited to which kinds of data or research questions

Intermediate Statistics: A Modern Approach [With CDROM]

Автор: Stevens James P.
Название: Intermediate Statistics: A Modern Approach [With CDROM]
ISBN: 0805854665 ISBN-13(EAN): 9780805854664
Издательство: Taylor&Francis
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Цена: 84710.00 T
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Описание: In this volume, one of the most important manuscripts surviving from pre-Conquest England receives penetrating analysis by several scholars. The `Junius Manuscript` is evaluated from a number of intersecting perspectives, including codicology, decoration, script and punctuation; the confluence of these permits a fresh and convincing dating of this crucially important witness to Old English poetry.

Measure, Probability, and Mathematical Finance - A Problem-Oriented Approach

Автор: Gan
Название: Measure, Probability, and Mathematical Finance - A Problem-Oriented Approach
ISBN: 1118831969 ISBN-13(EAN): 9781118831960
Издательство: Wiley
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Цена: 131950.00 T
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Описание: Measure, Probability, and Mathematical Finance: A Problem-Oriented Approach features an introduction to the mathematical theory underlying the financial models that were developed and employed on Wall Street.

Computational Statistics Handbook with MATLAB

Автор: Martinez Wendy L.
Название: Computational Statistics Handbook with MATLAB
ISBN: 1466592737 ISBN-13(EAN): 9781466592735
Издательство: Taylor&Francis
Рейтинг:
Цена: 107190.00 T
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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.


Probability and Random Processes  3ed

Автор: Grimmett
Название: Probability and Random Processes 3ed
ISBN: 0198572220 ISBN-13(EAN): 9780198572220
Издательство: Oxford Academ
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Цена: 48040.00 T
Наличие на складе: Поставка под заказ.
Описание: Love Your Home is an inspiring and thought-provoking sourcebook of ideas for home design. It explores the concept of `home` and its role as a private retreat and sanctuary, as well as a social hub for entertaining and the centre of family life. Provides an introduction to probability and random processes and their practical applications. This third edition emphasizes modeling and understanding rather than abstraction. Many important random processes are developed in the text through examples. It includes exercises and problems, with solutions provided in the companion volume.

Introduction to Probability with Mathematica, Second Edition

Автор: Hastings
Название: Introduction to Probability with Mathematica, Second Edition
ISBN: 1420079387 ISBN-13(EAN): 9781420079388
Издательство: Taylor&Francis
Рейтинг:
Цена: 183750.00 T
Наличие на складе: Невозможна поставка.
Описание: Updated to conform to Mathematica (R) 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on


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