Introduction to Probability Models, 8th Edition, continues to introduce and inspire readers to the art of applying probability theory to phenomena in fields such as engineering, computer science, management and actuarial science, the physical and social sciences, and operations research. Now revised and updated, this best-selling book retains its hallmark intuitive, lively writing style, captivating introduction to applications from diverse disciplines, and plentiful exercises and worked-out examples.
The 8th Edition includes five new sections and numerous new examples and exercises, many of which focus on strategies applicable in risk industries such as insurance or actuarial work.
The five new sections include:
* Section 3.6.4 presents an elementary approach, using only conditional expectation, for computing the expected time until a sequence of independent and identically distributed random variables produce a specified pattern.
* Section 3.6.5 derives an identity involving compound Poisson random variables and then uses it to obtain an elegant recursive formula for the probabilities of compound Poisson random variables whose incremental increases are nonnegative and integer valued
* Section 5.4.3 is concerned with a conditional Poisson process, a type of process that is widely applicable in the risk industries
* Section 7.10 presents a derivation of and a new characterization for the classical insurance ruin probability.
* Section 11.8 presents a simulation procedure known as coupling from the past; its use enables one to exactly generate the value of a random variable whose distribution is that of the stationary distribution of a given Markov chain, even in cases where the stationary distribution cannot itself be explicitly determined.
Other Academic Press books by Sheldon Ross:
Simulation 3rd Ed., ISBN:0-12-598053-1
Probability Models for Computer Science, ISBN 0-12-598051-5
Introduction to Probability and Statistics for Engineers and Scientists, 2nd Ed., ISBN: 0-12-598472-3
* Classic text by best-selling author
* Continues the tradition of expository excellence
* Contains compulsory material for Exam 3 of the
Society of Actuaries
书中的例子很多,容易理解,数学书能够做到这一步就非常好了。这本书还是北美精算师考试的推荐教材。翻译的不大认真,条件状语从句在翻译时没有提前,没有英语语法基础的会读着比较混沌。建议看不大明白的去原版
评分拿来当markov chain 用 还不错。不过ross的东东 有的很wordy。跟其它书对着看更好
评分我只是看中文时候觉得奇怪的地方去查了英文。慢慢更。 4.2 C-K方程 p147. 例4.8 “计算今天往后的四天都下雨的概率” 原文为 “then calculate the probability that it will rain four days from today given that it is raining today.” 意思为(it will rain)(four days...
评分书中的例子很多,容易理解,数学书能够做到这一步就非常好了。这本书还是北美精算师考试的推荐教材。翻译的不大认真,条件状语从句在翻译时没有提前,没有英语语法基础的会读着比较混沌。建议看不大明白的去原版
评分一本大牛写的好书翻译成这样,每一句基本感觉都只是直接照着原文变换一下,倒更像是SMT翻译的结果. 真是糟蹋. 现在这些导师翻译书,随便找几个学生敷衍了事,翻译的都不通顺,罢了,找原著吧. 龚光鲁,记住它!
读完了前4章,刚获赠第9版,所以第五章开始换书了
评分读完了前4章,刚获赠第9版,所以第五章开始换书了
评分Great Book! Classic Examples!
评分Great Book! Classic Examples!
评分读完了前4章,刚获赠第9版,所以第五章开始换书了
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