Lecture Notes in Statistics

Mixing

Properties and Examples

Authors: Doukhan, Paul

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About this book

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.

Table of contents (10 chapters)

Table of contents (10 chapters)

Buy this book

eBook $89.00
price for USA in USD
  • ISBN 978-1-4612-2642-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $119.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Mixing
Book Subtitle
Properties and Examples
Authors
Series Title
Lecture Notes in Statistics
Series Volume
85
Copyright
1994
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York, Inc.
eBook ISBN
978-1-4612-2642-0
DOI
10.1007/978-1-4612-2642-0
Softcover ISBN
978-0-387-94214-8
Series ISSN
0930-0325
Edition Number
1
Number of Pages
XII, 142
Number of Illustrations
5 b/w illustrations
Topics