Elementary probability / David Stirzaker.

By:

Stirzaker, David

Material type: Text

TextPublication details: Cambridge [England] ; New York : Cambridge University Press, 1994.Edition: 2nd edDescription: x, 406 p. : ill. ; 26 cmISBN:

0521420288 (hardback)
9780521420280 (hardback)
0521421837 (pbk.)
9780521421836 (pbk.)
0521566940 (pbk.)
9780521566940 (pbk.)

Subject(s):

Probabilities

DDC 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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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Books	Centeral Library Second Floor - Engineering & Architecture	512.72 S.D.E 1994 (Browse shelf(Opens below))	Available		826

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Includes bibliographical references (p. 401) and index.

"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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