Probability Via Expectation

Probability Via Expectation
Author: Peter Whittle
Publisher: Springer Science & Business Media
Total Pages: 324
Release: 1992-05-14
Genre: Mathematics
ISBN: 9780387977645


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A textbook for an introductory undergraduate course in probability theory, first published in 1970, and revised in 1976. The novelty of the approach is its basis on the subject's expectation rather than on probability measures. Assumes a fair degree of mathematical sophistication. Annotation copyrighted by Book News, Inc., Portland, OR


Probability Via Expectation
Language: en
Pages: 324
Authors: Peter Whittle
Categories: Mathematics
Type: BOOK - Published: 1992-05-14 - Publisher: Springer Science & Business Media

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A textbook for an introductory undergraduate course in probability theory, first published in 1970, and revised in 1976. The novelty of the approach is its basi
Probability and Conditional Expectation
Language: en
Pages: 600
Authors: Rolf Steyer
Categories: Mathematics
Type: BOOK - Published: 2017-03-10 - Publisher: John Wiley & Sons

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Probability and Conditional Expectations bridges the gap between books on probability theory and statistics by providing the probabilistic concepts estimated an
Probability Theory and Stochastic Processes
Language: en
Pages: 713
Authors: Pierre Brémaud
Categories: Mathematics
Type: BOOK - Published: 2020-04-07 - Publisher: Springer Nature

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The ultimate objective of this book is to present a panoramic view of the main stochastic processes which have an impact on applications, with complete proofs a
Probability and Expectation
Language: en
Pages: 208
Authors: Zun Shan
Categories: Mathematics
Type: BOOK - Published: 2016-07-14 - Publisher: World Scientific Publishing Company

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In China, lots of excellent students who are good at maths take an active part in various maths contests and the best six senior high school students will be se
Probability via Expectation
Language: en
Pages: 370
Authors: Peter Whittle
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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This book has exerted a continuing appeal since its original publication in 1970. It develops the theory of probability from axioms on the expectation functiona