THE STATISTICAL ANALYSIS OF PERTURBED LIMIT CYCLE PROCESSES USING NONLINEAR TIME SERIES MODELS-Reference-Cited by-同舟云学术

THE STATISTICAL ANALYSIS OF PERTURBED LIMIT CYCLE PROCESSES USING NONLINEAR TIME SERIES MODELS

Published:1982-01 Issue:1 Volume:3 Page:29-41
ISSN:0143-9782
Container-title:Journal of Time Series Analysis
language:en
Short-container-title:J Time Series Analysis

Author:

Ozaki T.

Publisher

Wiley

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1467-9892.1982.tb00328.x/fullpdf

Reference19 articles.

1. H. Akaike, B. N. Petrov, and F. Csaki (1973 ) Information Theory and an Extension of the Maximum Likelihood Principle . In2nd International Symposium on Information Theory, Akademiai-Kiado: Budapest, pp.267 -281 .

2. A Survey of Statistical Work on the Mackenzie River Series of Annual Canadian Lynx Trappings for the Years 1821-1934 and a New Analysis

3. Modelling nonlinear random vibrations using an amplitude-dependent autoregressive time series model

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