Beschreibung
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.
Buchdetails
Format
Taschenbuch
Seiten
224 Seiten
Sprache
Englisch
Veröffentlicht
Oct 2, 2012
Verlag
Springer
Ausgaben
2 editions
ISBN-10
1461269318
ISBN-13
9781461269311