Non-linear Time Series: A Dynamical System Approach

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Howell Tong (Mathematical Institute, Mathematical Institute, University of Kent, Canterbury)

Non-linear Time Series

A Dynamical System Approach

Howell Tong (Mathematical Institute, Mathematical Institute, University of Kent, Canterbury)

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English

Oxford University Press
08 July 1993

Probability & statistics; Chaos theory

Series: Oxford Statistical Science Series

The analysis of time series data has for many years been a central component of statistical research and practice. Although the theory of linear time series is now well established, that of non-linear time series is still a rapidly developing subject. This book, now available in paperback, is an introduction to some of these developments and the present state of research.

By: Howell Tong (Mathematical Institute Mathematical Institute University of Kent Canterbury)
Imprint: Oxford University Press
Country of Publication: United Kingdom
Edition: New edition
Volume: 6
Dimensions: Height: 234mm, Width: 155mm, Spine: 30mm
Weight: 822g
ISBN: 9780198523000
ISBN 10: 0198523009
Series: Oxford Statistical Science Series
Pages: 580
Publication Date: 08 July 1993
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Preface Acknowlegement Introduction 1: An introduction to dynamical systems 2: Some non-linear time series models 3: Probability structure 4: Statistical aspects 5: Non-linear least-squares prediction based on non-linear models 6: Case studies

Reviews for Non-linear Time Series: A Dynamical System Approach

'The book will no doubt become a standard reference on the subject, and the source of many an interesting research topic.' Marji Lines, University of Udine, Ricerche Economiche (1993) 47