Measure Theory (Paperback, Softcover reprint of the original 1st ed. 1994)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Graduate Texts in Mathematics, 143
Release date:	December 2012
First published:	1994
Authors:	J.L. Doob
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Paperback
Pages:	212
Edition:	Softcover reprint of the original 1st ed. 1994
ISBN-13:	978-1-4612-6931-1
Categories:	Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Real analysis
LSN:	1-4612-6931-8
Barcode:	9781461269311

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