This text is unique in accepting probability theory as an essential part of measure theory. Therefore, many examples are taken from probability, and probabilistic concepts such as independence and Markov processes are integrated into the text. Also, more attention than usual is paid to the role of algebras, and the metric defining the distance between sets as the measure of their symmetric difference is exploited more than is customary.
具体描述
读后感
评分
评分
评分
评分
用户评价
也是经典，粗略扫了下，没有读完
评分也是经典，粗略扫了下，没有读完
评分Very basic. I recommend Conway or Folland's book, since their books also cover something about measure theory and not too much.
评分也是经典，粗略扫了下，没有读完
评分也是经典，粗略扫了下，没有读完
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