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๐Ÿ“

Threshold Models in Non-linear Time Series Analysis

โœ Scribed by Howell Tong (auth.)


Publisher
Springer-Verlag New York
Year
1983
Tongue
English
Leaves
332
Series
Lecture Notes in Statistics 21
Edition
1
Category
Library

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โœฆ Synopsis


In the last two years or so, I was most fortunate in being given opportunities of lecturing on a new methodology to a variety of audiences in Britain, China, Finland, France and Spain. Despite my almost Confucian attitude of preferring talking (i.e. a transient record) to writing (i.e. a permanent record), the warm encouragement of friends has led to the ensuing notes. I am also only too conscious of the infancy of the methodology introduced in these notes. However, it is my sincere hope that exposure to a wider audience will accelerate its maturity. Readers are assumed to be familiar with the basic theory of time series analysis. The book by Professor M.B. Priestley (1981) may be used as a general reference. Chapter One is addressed to the general question: "why do we need non-linear time series models?" After describing some significant advantages of linear models, it singles out several major limitations of linearity. Of course, the selection reflects my personal view on the subject, which is only at its very beginning, although there does seem to be a general agreement in the literature that time irr'eversibility and limit cycles are among the most obvious.

โœฆ Table of Contents


Front Matter....Pages i-x
Introduction....Pages 1-33
Some Basic Concepts....Pages 34-58
Threshold Models....Pages 59-121
Identification....Pages 122-162
Some Case Studies....Pages 163-279
Back Matter....Pages 280-323

โœฆ Subjects


Statistics, general; Probability Theory and Stochastic Processes


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