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Probability :theory and examples /

Durrett, Richard, (1951-)

Probability :theory and examples /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Probability :Rick Durrett.
其他題名:	theory and examples /
作者:	Durrett, Richard,
出版者:	Cambridge ;Cambridge University Press,2010.
面頁冊數:	x, 428 p. :ill. ;27 cm.
標題:	Probabilities.
ISBN:	0521765390 (hardback) :

Probability :theory and examples /
Durrett, Richard,1951-

Probability :theory and examples /Rick Durrett. - 4th ed. - Cambridge ;Cambridge University Press,2010. - x, 428 p. :ill. ;27 cm. - Cambridge series in statistical and probabilistic mathematics. - Cambridge series on statistical and probabilistic mathematics..

Includes bibliographical references and index.

Measure theory -- Laws of large numbers -- Central limit theorems -- Random walks -- Martingales -- Markov chains -- Ergodic theorems -- Brownian motion -- Appendix A. Measure theory details.

"This book is an introduction to probability theory covering laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems"--

ISBN: 0521765390 (hardback) :NT$1814

LCCN: 2010013387

Nat. Bib. No.: GBB0B4751bnb

Nat. Bib. Agency Control No.: 015655196UkSubjects--Topical Terms:

182046
Probabilities.

LC Class. No.: QA273 / .D865 2010

Dewey Class. No.: 519.2

Probability :theory and examples /
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020 $a 9780521765398 (hardback)
035 $a (OCoLC)ocn607573997
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050 0 0 $a QA273 $b .D865 2010
082 0 0 $a 519.2 $2 22
100 1 $a Durrett, Richard, $d 1951- $3 185031
245 1 0 $a Probability : $b theory and examples / $c Rick Durrett.
250 $a 4th ed.
260 $a Cambridge ; $a New York : $b Cambridge University Press, $c 2010.
300 $a x, 428 p. : $b ill. ; $c 27 cm.
490 1 $a Cambridge series in statistical and probabilistic mathematics
504 $a Includes bibliographical references and index.
505 0 $a Measure theory -- Laws of large numbers -- Central limit theorems -- Random walks -- Martingales -- Markov chains -- Ergodic theorems -- Brownian motion -- Appendix A. Measure theory details.
520 $a "This book is an introduction to probability theory covering laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems"-- $c Provided by publisher.
650 0 $a Probabilities. $3 182046
830 0 $a Cambridge series on statistical and probabilistic mathematics. $3 183827