This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn probability is to see it in action, there are more than 350 problems and 200 examples. The examples contain all the old standards such as the birthday problem and Monty Hall, but also include a number of applications not found in other books, from areas as broad ranging as genetics, sports, finance, and inventory management.
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太他媽貴瞭，幸好搞到pdf版。說真的，還是教授上課講的好
评分十分不同的視角，Jan Vecer果然還是很有眼光。可惜沒有好好看教材。但一定要好好把Markov Chain學好啊。課後習題給得很有創意。CLM那一塊就是與實踐聯繫最緊密的。還記得藉此終於看懂瞭季張龍那篇《其實楊坤是個有文化的人》的校內日誌。
评分太他媽貴瞭，幸好搞到pdf版。說真的，還是教授上課講的好
评分十分不同的視角，Jan Vecer果然還是很有眼光。可惜沒有好好看教材。但一定要好好把Markov Chain學好啊。課後習題給得很有創意。CLM那一塊就是與實踐聯繫最緊密的。還記得藉此終於看懂瞭季張龍那篇《其實楊坤是個有文化的人》的校內日誌。
评分太他媽貴瞭，幸好搞到pdf版。說真的，還是教授上課講的好
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