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A Basic Course in Probability Theory, Rabi Bhattacharya; Edward C. Waymire


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Автор: Rabi Bhattacharya; Edward C. Waymire
Название:  A Basic Course in Probability Theory
Перевод названия: Раби Бхаттачарайя: Базовый курс теории вероятности
ISBN: 9783319479729
Издательство: Springer
Классификация:


ISBN-10: 3319479725
Обложка/Формат: Paperback
Страницы: 266
Вес: 0.44 кг.
Дата издания: 2016
Серия: Universitext
Язык: English
Издание: 2nd ed. 2016
Иллюстрации: Xii, 265 p.
Размер: 157 x 235 x 22
Читательская аудитория: Graduate/advanced undergraduate textbook
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This text develops the necessary background in probability theory underlying diverse treatments of stochastic processes and their wide-ranging applications.
Дополнительное описание: Bhattacharya/Waymire, A Basic Course in Probability Theory (Universitext), 2nd ed.



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.

A Course in Probability Theory, Revised Edition,

Автор: Kai Lai Chung
Название: A Course in Probability Theory, Revised Edition,
ISBN: 0121741516 ISBN-13(EAN): 9780121741518
Издательство: Elsevier Science
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Цена: 12462.00 р.
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Описание: This book is designed for undergraduate programs and students and can also be used as a first-year graduate text in probability. It offers a broad perspective, building on the synopsis of measure and integration offered in Chapter two.

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:

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.

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.

Probability Theory: A Complete One-Semester Course

Автор: Dokuchaev Nikolai
Название: Probability Theory: A Complete One-Semester Course
ISBN: 9814678023 ISBN-13(EAN): 9789814678025
Издательство: World Scientific Publishing
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Цена: 6336.00 р.
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Описание: This book provides a systematic, self-sufficient and yet short presentation of the mainstream topics on introductory Probability Theory with some selected topics from Mathematical Statistics.

A Basic Course in Measure and Probability

Автор: Leadbetter
Название: A Basic Course in Measure and Probability
ISBN: 1107020409 ISBN-13(EAN): 9781107020405
Издательство: Cambridge Academ
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Цена: 19800.00 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.

Probability Theory and Statistical Inference

Название: Probability Theory and Statistical Inference
ISBN: 0521424089 ISBN-13(EAN): 9780521424080
Издательство: Cambridge Academ
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Цена: 7285.00 р.
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Описание: This major new textbook from a distinguished econometrician is intended for students taking introductory courses in probability theory and statistical inference. No prior knowledge other than a basic familiarity with descriptive statistics is assumed. The primary objective of this book is to establish the framework for the empirical modelling of observational (non-experimental) data. This framework known as 'Probabilistic Reduction' is formulated with a view to accommodating the peculiarities of observational (as opposed to experimental) data in a unifying and logically coherent way. Probability Theory and Statistical Inference differs from traditional textbooks in so far as it emphasizes concepts, ideas, notions and procedures which are appropriate for modelling observational data. Aimed at students at second-year undergraduate level and above studying econometrics and economics, this textbook will also be useful for students in other disciplines which make extensive use of observational data, including finance, biology, sociology and psychology and climatology.


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