A computational procedure for the asymptotic analysis of homogeneous semi-Markov processes

A new algorithm for classifying the states of a homogeneous Markov chain having finitely many states is presented, which enables the investigation of the asymptotic behavior of semi-Markov processes in which the Markov chain is embedded. An application of the algorithm to a social security problem is also presented.

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Year of publication:	1984
Authors:	De Dominicis, R. ; Manca, R.
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 2.1984, 4, p. 249-253
Publisher:	Elsevier
Subject:	homogeneous semi-Markov process asymptotic analysis

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005223941