Mixing - Properties and Examples (Paperback, Softcover reprint of the original 1st ed. 1994)

Mixing is concerned with the analysis of dependence between sigma-fields defined on the same underlying probability space. It provides an important tool of analysis for random fields, Markov processes, central limit theorems as well as being a topic of current research interest in its own right. The aim of this monograph is to provide a study of applications of dependence in probability and statistics. It is divided in two parts, the first covering the definitions and probabilistic properties of mixing theory. The second part describes mixing properties of classical processes and random fields as well as providing a detailed study of linear and Gaussian fields. Consequently, this book will provide statisticians dealing with problems involving weak dependence properties with a powerful tool.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Lecture Notes in Statistics, 85
Release date:	March 1994
First published:	1994
Authors:	Paul Doukhan
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Paperback
Pages:	142
Edition:	Softcover reprint of the original 1st ed. 1994
ISBN-13:	978-0-387-94214-8
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	0-387-94214-9
Barcode:	9780387942148

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