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Understanding probability : = chance rules in everyday life /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Understanding probability :/ Henk Tijms.
其他題名:	chance rules in everyday life /
作者:	Tijms, H. C.,
面頁冊數:	1 online resource (x, 442 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 18 Jul 2016).
標題:	Probabilities. -
電子資源:	https://doi.org/10.1017/CBO9780511619052
ISBN:	9780511619052 (ebook)

Understanding probability : = chance rules in everyday life /
Tijms, H. C.,

Understanding probability :chance rules in everyday life /Henk Tijms. - 2nd ed. - 1 online resource (x, 442 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 18 Jul 2016).

Probability questions -- The law of large numbers and simulation -- Probabilities in everyday life -- Rare events and lotteries -- Probability and statistics -- Chance trees and Bayes' rule -- Foundations of probability theory -- Conditional probability and Bayes -- Basic rules for discrete random variables -- Continuous random variables -- Jointly distributed random variables -- Multivariate normal distribution -- Conditional distributions -- Generating functions -- Markov chains.

In this fully revised second edition of Understanding Probability, the reader can learn about the world of probability in an informal way. The author demystifies the law of large numbers, betting systems, random walks, the bootstrap, rare events, the central limit theorem, the Bayesian approach and more. This second edition has wider coverage, more explanations and examples and exercises, and a new chapter introducing Markov chains, making it a great choice for a first probability course. But its easy-going style makes it just as valuable if you want to learn about the subject on your own, and high school algebra is really all the mathematical background you need.

ISBN: 9780511619052 (ebook)Subjects--Topical Terms:

527847
Probabilities.

LC Class. No.: QA273 / .T48 2007

Dewey Class. No.: 519.2

Understanding probability : = chance rules in everyday life /
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505 0 $a Probability questions -- The law of large numbers and simulation -- Probabilities in everyday life -- Rare events and lotteries -- Probability and statistics -- Chance trees and Bayes' rule -- Foundations of probability theory -- Conditional probability and Bayes -- Basic rules for discrete random variables -- Continuous random variables -- Jointly distributed random variables -- Multivariate normal distribution -- Conditional distributions -- Generating functions -- Markov chains.
520 $a In this fully revised second edition of Understanding Probability, the reader can learn about the world of probability in an informal way. The author demystifies the law of large numbers, betting systems, random walks, the bootstrap, rare events, the central limit theorem, the Bayesian approach and more. This second edition has wider coverage, more explanations and examples and exercises, and a new chapter introducing Markov chains, making it a great choice for a first probability course. But its easy-going style makes it just as valuable if you want to learn about the subject on your own, and high school algebra is really all the mathematical background you need.
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