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Understanding probability /
~
Tijms, H. C.
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Understanding probability /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Understanding probability // Henk Tijms.
作者:
Tijms, H. C.
出版者:
New York :Cambridge University Press, : 2012.,
面頁冊數:
x, 562 p. :ill. ;23 cm.
標題:
Chance. -
電子資源:
http://assets.cambridge.org/97811076/58561/cover/9781107658561.jpg
ISBN:
9781107658561 (pbk.) :
Understanding probability /
Tijms, H. C.
Understanding probability /
Henk Tijms. - 3rd ed. - New York :Cambridge University Press,2012. - x, 562 p. :ill. ;23 cm.
Includes bibliographical references (p. 556-557) and index.
Introduction -- Probability in Action --
"Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part, covering a wide range of topics, teaches clearly and simply the basics of probability. This fully revised third edition has been packed with even more exercises and examples, and it includes new sections on Bayesian inference, Markov chain Monte Carlo simulation, hitting probabilities in random walks and Brownian motion, and a new chapter on continuous-time Markov chains with applications. Here you will find all the material taught in an introductory probability course. The first part of the book, with its easy-going style, can be read by anybody with a reasonable background in high school mathematics. The second part of the book requires a basic course in calculus"--
ISBN: 9781107658561 (pbk.) :US48.00
LCCN: 2012010536Subjects--Topical Terms:
540486
Chance.
LC Class. No.: QA273 / .T48 2012
Dewey Class. No.: 519.2
Understanding probability /
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Probability in Action --
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"Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part, covering a wide range of topics, teaches clearly and simply the basics of probability. This fully revised third edition has been packed with even more exercises and examples, and it includes new sections on Bayesian inference, Markov chain Monte Carlo simulation, hitting probabilities in random walks and Brownian motion, and a new chapter on continuous-time Markov chains with applications. Here you will find all the material taught in an introductory probability course. The first part of the book, with its easy-going style, can be read by anybody with a reasonable background in high school mathematics. The second part of the book requires a basic course in calculus"--
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