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Non-linear Time Series Howell Tong (Mathematical Institute, Mathematical Institute, University of Kent, Canterbury)

Non-linear Time Series By Howell Tong (Mathematical Institute, Mathematical Institute, University of Kent, Canterbury)

Summary

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.

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Non-linear Time Series Summary

Non-linear Time Series: A Dynamical System Approach by Howell Tong (Mathematical Institute, Mathematical Institute, University of Kent, Canterbury)

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.

Non-linear Time Series Reviews

No time series specialist can be without this book. * Short Book Reviews *

Table of Contents

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

Additional information

CIN0198523009VG
9780198523000
0198523009
Non-linear Time Series: A Dynamical System Approach by Howell Tong (Mathematical Institute, Mathematical Institute, University of Kent, Canterbury)
Used - Very Good
Paperback
Oxford University Press
1993-07-08
580
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

Customer Reviews - Non-linear Time Series