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A Course in Probability Theory, Revised Edition,, Kai Lai Chung



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Цена: 11329р.
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Автор: Kai Lai Chung
Название:  A Course in Probability Theory, Revised Edition,
Перевод названия: Курс по теории вероятностей, пересмотренное издание,
ISBN: 9780121741518
Издательство: Elsevier Science
Классификация:
ISBN-10: 0121741516
Обложка/Формат: Paperback
Страницы: 419
Вес: 0.586 кг.
Дата издания: 17.10.2000
Язык: English
Издание: 3 ed
Размер: 228 x 151 x 30
Ссылка на Издательство: Link
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Поставляется из: Англии
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.



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 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 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 Mathematica, Second Edition

Автор: Hastings
Название: Introduction to Probability with Mathematica, Second Edition
ISBN: 1420079387 ISBN-13(EAN): 9781420079388
Издательство: Taylor&Francis
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Цена: 25410 р.
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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

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 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.

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 р.
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Описание: Provides an introduction to probability theory and its applications.

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: 6968 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.

Schaum`s Easy Outline of Probability and Statistics, Revised Edition

Автор: Schiller John, Srinivasan A., Spiegel Murray
Название: Schaum`s Easy Outline of Probability and Statistics, Revised Edition
ISBN: 0071777512 ISBN-13(EAN): 9780071777513
Издательство: McGraw-Hill
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Цена: 2572 р.
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Описание:

If you are looking for a quick nuts-and-bolts overview, turn to Schaum's Easy Outlines

Schaum's Easy Outline of Probability and Statistics is a pared-down, simplified, and tightly focused review of the topic. With an emphasis on clarity and brevity, it features a streamlined and updated format and the absolute essence of the subject, presented in a concise and readily understandable form. Graphic elements such as sidebars, reader-alert icons, and boxed highlights stress selected points from the text, illuminate keys to learning, and give you quick pointers to the essentials.

  • Expert tips for mastering probability and statistics
  • Last-minute essentials to pass the course
  • Coverage of all course fundamentals
  • Easy to understand methodology
  • Clear, concise explanations of all probability and statistics concepts
  • Appropriate for the following courses: Introduction to Probability & Statistics, Probability, Business Statistics, Basic Statistics, and Beginning Statistics
  • Easily understood review of basic probability and statistics principles
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: 14083 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.


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