35986841_10216840653711318_1105697261150535680_n

Elementary probability / David Stirzaker.

By: Stirzaker, David
Material type: TextTextPublisher: Cambridge [England] ; New York : Cambridge University Press, 1994Edition: 2nd edDescription: x, 406 p. : ill. ; 26 cmISBN: 0521420288 (hardback); 9780521420280 (hardback); 0521421837 (pbk.); 9780521421836 (pbk.); 0521566940 (pbk.); 9780521566940 (pbk.)Subject(s): ProbabilitiesDDC classification: 512.72 LOC classification: QA273 | .S7534 1994
Contents:
1. Probability -- 2. Conditional probability and independence -- 3. Counting -- 4. Random variables: distribution and expectation -- 5. Random vectors; independence and dependence -- 6. Generating functions and their applications -- 7. Continuous random variables -- 8. Jointly continuous random variables -- 9. Markov chains.
Review: "The aim of this book is to provide a straightforward introduction to the theory of probability. The topics covered illustrate the wide range and power of the subject, and include conditional probability, independence, random variables, generating functions, and an introduction to Markov chains." "The text is friendly and clear and provides numerous worked examples and exercises, all of which help to build up the important skills necessary for problem solving. The underlying probabilistic concepts are also well illustrated by this approach, making this book ideal both for self study and as a course text."--Jacket.
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Item type Current location Call number Status Date due Barcode
Books Books Centeral Library
Second Floor - Engineering & Architecture
512.72 S.D.E 1994 (Browse shelf) Available 826

Includes bibliographical references (p. 401) and index.

1. Probability -- 2. Conditional probability and independence -- 3. Counting -- 4. Random variables: distribution and expectation -- 5. Random vectors; independence and dependence -- 6. Generating functions and their applications -- 7. Continuous random variables -- 8. Jointly continuous random variables -- 9. Markov chains.

"The aim of this book is to provide a straightforward introduction to the theory of probability. The topics covered illustrate the wide range and power of the subject, and include conditional probability, independence, random variables, generating functions, and an introduction to Markov chains." "The text is friendly and clear and provides numerous worked examples and exercises, all of which help to build up the important skills necessary for problem solving. The underlying probabilistic concepts are also well illustrated by this approach, making this book ideal both for self study and as a course text."--Jacket.

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