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An Introduction to Probability Theory and Its Applications, Volume 1, 3rd Edition, Feller, William


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Автор: Feller, William
Название:  An Introduction to Probability Theory and Its Applications, Volume 1, 3rd Edition
Перевод названия: Уильям Феллер: Введениев теорию вероятности и ее приложения. Том 1
ISBN: 9780471257080
Издательство: Wiley
Классификация:
ISBN-10: 0471257087
Обложка/Формат: Hardback
Страницы: 528
Вес: 0.81 кг.
Дата издания: 01.01.1968
Серия: Wiley series in probability and statistics
Язык: English
Издание: 3rd edition
Иллюстрации: Black & white illustrations
Размер: 236 x 154 x 33
Читательская аудитория: Postgraduate, research & scholarly
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание:

A complete guide to the theory and practical applications of probability theory

An Introduction to Probability Theory and Its Applications uniquely blends a comprehensive overview of probability theory with the real-world application of that theory. Beginning with the background and very nature of probability theory, the book then proceeds through sample spaces, combinatorial analysis, fluctuations in coin tossing and random walks, the combination of events, types of distributions, Markov chains, stochastic processes, and more. The books comprehensive approach provides a complete view of theory along with enlightening examples along the way.




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 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.

Probability Theory with Applications

Автор: Rao M.M., Swift R.J.
Название: Probability Theory with Applications
ISBN: 0387277307 ISBN-13(EAN): 9780387277301
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book is a revised and expanded edition of a successful graduate and reference text. The material in the book is designed for a standard graduate course on probability theory, including some important applications. This new edition contains a detailed treatment of the core area of probability, and both structural and limit results are presented in full detail. Compared to the first edition, the material and presentation are better highlighted with several (small and large) alterations made to each chapter. Key features of the book include:

Introduction to stochastic calculus with applications (second edition)

Автор: Klebaner Fima C
Название: Introduction to stochastic calculus with applications (second edition)
ISBN: 186094566X ISBN-13(EAN): 9781860945663
Издательство: World Scientific Publishing
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Цена: 6653.00 р.
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Описание: Presents a concise treatment of stochastic calculus and its applications. This book covers advanced applications, such as models in mathematical finance, biology and engineering. It is useful as a textbook by advanced undergraduates and graduate students in stochastic calculus and financial mathematics.

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.

Introduction to Probability with Statistical Applications

Автор: Schay G.
Название: Introduction to Probability with Statistical Applications
ISBN: 3319306189 ISBN-13(EAN): 9783319306186
Издательство: Springer
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Цена: 9362.00 р.
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Описание: Now inits second edition, this textbook serves as an introduction toprobability and statistics for non-mathematics majors who do not need theexhaustive detail and mathematical depth provided in more comprehensivetreatments of the subject. The presentation covers the mathematical laws ofrandom phenomena, including discrete and continuous random variables,expectation and variance, and common probability distributions such as thebinomial, Poisson, and normal distributions. More classical examples such asMontmort's problem, the ballot problem, and Bertrand’s paradox are nowincluded, along with applications such as the Maxwell-Boltzmann andBose-Einstein distributions in physics.Keyfeatures in new edition:* 35 newexercises* Expanded sectionon the algebra of sets *Expanded chapters on probabilities to include more classical examples* Newsection on regression* Onlineinstructors' manual containing solutions to all exercises

Markov Chain Monte Carlo

Автор: Gamerman, Dani.
Название: Markov Chain Monte Carlo
ISBN: 1584885874 ISBN-13(EAN): 9781584885870
Издательство: Taylor&Francis
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Цена: 15312.00 р.
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Описание: Incorporating changes in theory and highlighting various applications, this book presents a comprehensive introduction to the methods of Markov Chain Monte Carlo (MCMC) simulation technique. It incorporates the developments in MCMC, including reversible jump, slice sampling, bridge sampling, path sampling, multiple-try, and delayed rejection.

Models for Probability and Statistical Inference -  Theory and Applications

Автор: Stapleton
Название: Models for Probability and Statistical Inference - Theory and Applications
ISBN: 0470073721 ISBN-13(EAN): 9780470073728
Издательство: Wiley
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Цена: 22802.00 р.
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Описание: Serving as a text for a two semester sequence on probability and statistical inference complex Models for Probability and Statistical Inference: Theory and Applications features exercises throughout the book and selected answers (not solutions). Each section is followed by a selection of problems, from simple to more complex.

An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 27712.00 р.
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.


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