Hostname: page-component-848d4c4894-xm8r8 Total loading time: 0 Render date: 2024-06-22T07:05:56.585Z Has data issue: false hasContentIssue false

A limit theorem for semi-Markov processes

Published online by Cambridge University Press:  14 July 2016

Domokos Szász*
Affiliation:
Hungarian Academy of Sciences, Budapest

Abstract

A limit theorem is proved for semi-Markov processes, which depend on a small parameter, tending to 0, in the case when the processes have an absorbing state and some asymptotically non-essential states and one asymptotically essential state. The application of the theorem is illustrated by an example from reliability theory.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1974 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Anisimov, V. V. (1971) Limit theorems for sums of random variables defined on a subset of states of a Markov chain till first leaving moment in the scheme of series. (In Russian.) Probability Theory and Math. Statistics , Kiev 4, 1826.Google Scholar
[2] Feller, W. (1971) An Introduction to Probability Theory and its Applications. Vol. II, 2nd ed. Wiley, New York.Google Scholar
[3] Gantmacher, F. R. (1967) Theory of Matrices. (In Russian.) 3rd ed. Moscow.Google Scholar
[4] Gusak, D. V. and Korolyuk, V. S. (1971) Asymptotic behaviour of semi-Markov processes with the split set of states. (In Russian.) Probability Theory and Math. Statistics , Kiev 5, 4350.Google Scholar
[5] Soloviev, A. D. (1970) Reserve with quick renewal. (In Russian.) Technical Cybernetics , Moscow 1, 5671.Google Scholar
[6] Turbin, A. F. (1971) On asymptotic behaviour of the sojourn time of semi-Markov processes in the reducible subsets of states. Linear case. (In Russian.) Probability Theory and Math. Statistics , Kiev 4, 179194.Google Scholar