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The strong law of large number and parameter estimation of one class of non-negative integer-valued time series

The strong law of large number and parameter estimation of one class of non-negative... In, a general integer-valued time series model, the generalization of the model proposed by Al-Osh and Alzaid[1], has been proposed. Its stationarity and spectral representation has been investigated. In this paper, we make a further study of the model. Its strong law of large numbers and parameter estimation are obtained. At the end of the paper, we give a few open problems to be researched further. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Mathematicae Applicatae Sinica Springer Journals

The strong law of large number and parameter estimation of one class of non-negative integer-valued time series

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References (9)

Publisher
Springer Journals
Copyright
Copyright © 1998 by Science Press
Subject
Mathematics; Applications of Mathematics; Math Applications in Computer Science; Theoretical, Mathematical and Computational Physics
ISSN
0168-9673
eISSN
1618-3932
DOI
10.1007/BF02677403
Publisher site
See Article on Publisher Site

Abstract

In, a general integer-valued time series model, the generalization of the model proposed by Al-Osh and Alzaid[1], has been proposed. Its stationarity and spectral representation has been investigated. In this paper, we make a further study of the model. Its strong law of large numbers and parameter estimation are obtained. At the end of the paper, we give a few open problems to be researched further.

Journal

Acta Mathematicae Applicatae Sinica – Springer Journals

Published: Jul 3, 2007

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