Editors:
- This volume provides the reader with a comprehensive recent account on dependent stochastic processes
- This book is a reference book for theoretical works, and provides some results that are of straight practical interest for the applied statistician/econometrician
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Statistics (LNS, volume 200)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
Editors and Affiliations
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UFR Sciences-Techniques, Pontoise, France
Paul Doukhan
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, UMR MIA 518, INRA AgroParisTech, Paris, France
Gabriel Lang
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Stochastic Processes Department, Vilnius, Lithuania
Donatas Surgailis
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Aarhus University, School of Economics, CREATES, Aarhus C, Denmark
Gilles Teyssière
Bibliographic Information
Book Title: Dependence in Probability and Statistics
Editors: Paul Doukhan, Gabriel Lang, Donatas Surgailis, Gilles Teyssière
Series Title: Lecture Notes in Statistics
DOI: https://doi.org/10.1007/978-3-642-14104-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2010
Softcover ISBN: 978-3-642-14103-4Published: 11 August 2010
eBook ISBN: 978-3-642-14104-1Published: 23 July 2010
Series ISSN: 0930-0325
Series E-ISSN: 2197-7186
Edition Number: 1
Number of Pages: XV, 205
Number of Illustrations: 13 b/w illustrations
Topics: Probability Theory and Stochastic Processes, Computational Mathematics and Numerical Analysis, Statistics and Computing/Statistics Programs, Statistical Theory and Methods