Measure Theory (Hardcover, 1994 ed.)

This book is different from other books on measure theory in that it accepts probability theory as an essential part of measure theory. This means that many examples are taken from probability; that probabilistic concepts such as independence, Markov processes, and conditional expectations are integrated into the text rather than being relegate to an appendix; that more attention is paid to the role of algebras than is customary; and that 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 1993
First published:	1994
Authors:	J.L. Doob
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Hardcover
Pages:	212
Edition:	1994 ed.
ISBN-13:	978-0-387-94055-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Real analysis
LSN:	0-387-94055-3
Barcode:	9780387940557

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