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.
具体描述
读后感
评分
评分
评分
评分
用户评价
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。還記得借此終於看懂了季張龍那篇《其实杨坤是个有文化的人》的校內日誌。
评分切。
评分太他妈贵了，幸好搞到pdf版。说真的，还是教授上课讲的好
评分太他妈贵了，幸好搞到pdf版。说真的，还是教授上课讲的好
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。還記得借此終於看懂了季張龍那篇《其实杨坤是个有文化的人》的校內日誌。
相关图书
本站所有内容均为互联网搜索引擎提供的公开搜索信息，本站不存储任何数据与内容，任何内容与数据均与本站无关，如有需要请联系相关搜索引擎包括但不限于百度，google,bing,sogou 等
© 2025 book.wenda123.org All Rights Reserved. 图书目录大全 版权所有