Description
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.
Détails du livre
Format
Broché
Pages
224 pages
Langue
Anglais
Publié
Oct 2, 2012
Éditeur
Springer
Éditions
2 editions
ISBN-10
1461269318
ISBN-13
9781461269311