Chaos: A Statistical Perspective

Chaos: A Statistical Perspective

AngličtinaMäkká väzbaTlač na objednávku
Chan Kung-Sik
Springer-Verlag New York Inc.
EAN: 9781441929365
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Podrobné informácie

It was none other than Henri Poincare who at the turn of the last century, recognised that initial-value sensitivity is a fundamental source of random­ ness. For statisticians working within the traditional statistical framework, the task of critically assimilating randomness generated by a purely de­ terministic system, often known as chaos, is an intellectual challenge. Like some other statisticians, we have taken up this challenge and our curiosity as reporters and participants has led us to investigate beyond the earlier discoveries in the field. Earlier statistical work in the area was mostly con­ cerned with the estimation of what is sometimes imprecisely called the fractal dimension. During the different stages of our writing, substantial portions of the book were used in lectures and seminars. These include the DMV (German Mathematical Society) Seminar Program, the inaugural session of lectures to the Crisis Points Project at the Peter Wall Institute of Advanced Stud­ ies, University of British Columbia and the graduate courses on Time Series Analysis at the University of Iowa, the University of Hong Kong, the Lon­ don School of Economics and Political Science, and the Chinese University of Hong Kong. We have therefore benefitted greatly from the comments and suggestions of these audiences as well as from colleagues and friends. We are grateful to them for their contributions. Our special thanks go to Colleen Cutler, Cees Diks, Barbel FinkensHidt, Cindy Greenwood, Masakazu Shi­ mada, Floris Takens and Qiwei Yao.
EAN 9781441929365
ISBN 1441929363
Typ produktu Mäkká väzba
Vydavateľ Springer-Verlag New York Inc.
Dátum vydania 23. novembra 2010
Stránky 300
Jazyk English
Rozmery 235 x 155
Krajina United States
Čitatelia Professional & Scholarly
Autori Chan Kung-Sik; Tong Howell
Ilustrácie XVI, 300 p.
Edícia Softcover reprint of hardcover 1st ed. 2001
Séria Springer Series in Statistics