설명
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.
책 세부 정보
형식
페이퍼백
페이지
224 페이지
언어
영어
출판됨
Oct 2, 2012
출판사
Springer
판본
2 editions
ISBN-10
1461269318
ISBN-13
9781461269311