Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 7-Day Trial for You or Your Team.

Learn More →

A STUDY OF THE APPLICATION OF STATE‐DEPENDENT MODELS IN NON‐LINEAR TIME SERIES ANALYSIS

A STUDY OF THE APPLICATION OF STATE‐DEPENDENT MODELS IN NON‐LINEAR TIME SERIES ANALYSIS Abstract. The theory of state‐dependent models was developed by Priestley (1980), and a few simple applications were given in Priestley (1981). In this paper, an extensive study of the application of state‐dependent models to a wide variety of non‐linear time series data is carried out. Both real and simulated data are used in the study, and the problems encountered are highlighted. The method is demonstrated to be successful in practice in many cases, and suggestions for the further development of the algorithm are also given. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Time Series Analysis Wiley

A STUDY OF THE APPLICATION OF STATE‐DEPENDENT MODELS IN NON‐LINEAR TIME SERIES ANALYSIS

Loading next page...
 
/lp/wiley/a-study-of-the-application-of-state-dependent-models-in-non-linear-owz0Jciypk

References (16)

Publisher
Wiley
Copyright
Copyright © 1984 Wiley Subscription Services, Inc., A Wiley Company
ISSN
0143-9782
eISSN
1467-9892
DOI
10.1111/j.1467-9892.1984.tb00379.x
Publisher site
See Article on Publisher Site

Abstract

Abstract. The theory of state‐dependent models was developed by Priestley (1980), and a few simple applications were given in Priestley (1981). In this paper, an extensive study of the application of state‐dependent models to a wide variety of non‐linear time series data is carried out. Both real and simulated data are used in the study, and the problems encountered are highlighted. The method is demonstrated to be successful in practice in many cases, and suggestions for the further development of the algorithm are also given.

Journal

Journal of Time Series AnalysisWiley

Published: Mar 1, 1984

There are no references for this article.