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THE ESTIMATION OF RANDOM COEFFICIENT AUTOREGRESSIVE MODELS. I

 

作者: D. F. Nicholls,   B. G. Quinn,  

 

期刊: Journal of Time Series Analysis  (WILEY Available online 1980)
卷期: Volume 1, issue 1  

页码: 37-46

 

ISSN:0143-9782

 

年代: 1980

 

DOI:10.1111/j.1467-9892.1980.tb00299.x

 

出版商: Blackwell Publishing Ltd

 

关键词: random coefficient autoregression;strong consistency;central limit theorem;Monte Carlo experiment

 

数据来源: WILEY

 

摘要:

Abstract.This paper is concerned with autoregressive models in which the coefficients are assumed to be not constant but subject to random perturbations so that we are considering a class of random coefficient autoregressive models. By means of a two stage regression procedure estimates of the unknown parameters of these models are obtained. The estimates are shown to be strongly consistent and to satisfy a central limit theorem. A number of Monte Carlo experiments was carried out to illustrate the estimation procedure and their results are reported.

 

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