Dependence in Probability and Statistics (Paperback, 2006 ed.)

This book gives an account of recent developments in the field of probability and statistics for dependent data. It covers a wide range of topics from Markov chain theory and weak dependence with an emphasis on some recent developments on dynamical systems, to strong dependence in times series and random fields. There is a section on statistical estimation problems and specific applications. The book is written as a succession of papers by field specialists, alternating general surveys, mostly at a level accessible to graduate students in probability and statistics, and more general research papers mainly suitable to researchers in the field.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Lecture Notes in Statistics, 187
Release date:	May 2006
First published:	2006
Editors:	Patrice Bertail • Paul Doukhan • Philippe Soulier
Dimensions:	235 x 155 x 25mm (L x W x T)
Format:	Paperback
Pages:	490
Edition:	2006 ed.
ISBN-13:	978-0-387-31741-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	0-387-31741-4
Barcode:	9780387317410

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