Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction to elementary probability theory and stochastic processes, and shows how probability theory can be applied to the study of phenomena in fields such as engineering, computer science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating to actuaries, this text is highly recommended by the Society of Actuaries. Ancillary list: Instructor's Manual - http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123743886 Student Solutions Manual - http://www.elsevierdirect.com/product.jsp?isbn=9780123756862#42 Sample Chapter, eBook - http://www.elsevierdirect.com/product.jsp?isbn=9780123756862
New to this Edition: 65% new chapter material including coverage of finite capacity queues, insurance risk models and Markov chains Contains compulsory material for new Exam 3 of the Society of Actuaries containing several sections in the new exams Updated data, and a list of commonly used notations and equations, a robust ancillary package, including a ISM, SSM, test bank, and companion website Includes SPSS PASW Modeler and SAS JMP software packages which are widely used in the field Hallmark features: Superior writing style Excellent exercises and examples covering the wide breadth of coverage of probability topics Real-world applications in engineering, science, business and economics
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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...
评分虽说数学书的好坏一个方面要看其例题 但这里的例题实在是太全了 从保险到计算机，很难想象仅凭数学知识能理解这本书的内容 明显是ROSS那本随机过程的一个扩充本 我敢说 谁把这书弄透 那本科概率论与随机过程就算是无敌了～ ～～～ 总之 是本好书
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
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应用范例全面。
评分这本书的重点是比较传统的概率和随机，主要探讨泊松过程马尔科夫和排队论等等，关于布朗运动的探讨少的可怜。虽然作者声称没有复杂的证明，但是这本书包含的东西太多而且排版并不好使得知识点很散是个大问题。即使是这样，也还是一本经典，书中给了很多非常棒的例子
评分靠我什么时候居然点过读过…）明天考随机过程了…
评分作为stochastic models的入门读物值得推荐。作为金融方面的随机应用的话还是去读stochastic process in finance那本吧 ，不过以这本作为sto入门会更好理解
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