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A note on the matrix renewal function

Published online by Cambridge University Press:  09 April 2009

A. M. Kshirsagar
Affiliation:
Southern Methodist University Dallas, Texas, U.S.A.
Y. P. Gupta
Affiliation:
Delhi University, India
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Abstract

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The Laplace-Stieltjes Transform m(s) of the matrix renewal function M(t) of a Markov Renewal process is expanded in powers of the argument s, in this paper, by using a generalized inverse of the matrix I–P0, where P0 is the transition probability matrix of the imbedded Markov chain. This helps in obtaining the values of moments of any order of the number of renewals and also of the moments of the first passage times, for large values of t, the time. All the results of renewal theory are hidden under the Laplacian curtain and this expansion helps to lift this curtain at least for large values of t and is thus useful in predicting the number of renewals.

Type
Research Article
Copyright
Copyright © Australian Mathematical Society 1972

References

[1]Cox, D. R., Renewal Theory (Methuen, London, 1962).Google Scholar
[2]Hunter, Jeffrey J., On the moments of Markov renewal processes (University of North Carolina, Institute of Statistics Mimeo Series No. 589, 1968).Google Scholar
[3]Keilson, J., ‘On the matrix renewal function for Markov renewal processes’, Ann. Math. Statist. 40 (1969), 19011907.CrossRefGoogle Scholar
[4]Kemey, J. G. and Snell, J. L., Finite Markov Chains (Van Nostrand, New York, 1960).Google Scholar
[5]Kshirsagar, A. M. and Gupta, Y. P., ‘Asymptotic values of the first two moments in Markov Renewal Processes’, Biometrika 54 (1967), 597603.CrossRefGoogle ScholarPubMed
[6]Pyke, Ronald, ‘Markov Renewal processes: Definitions and preliminary properties’, Ann. Math. Stat. 32 (1961), 12311241.Google Scholar
[7]Pyke, Ronald, ‘Markov Renewal processes with finitely many states’, Ann. Math. Statist. 32 (1961), 12431259.CrossRefGoogle Scholar
[8]Rao, C. Radhakrishna, (1966) Generalized inverse for matrices and its applications in mathematical statistics (Research papers in Statistics, Festschrift for J. Neyman, Wiley, New York, 1966).Google Scholar
[9]Smith, W. L., ‘On the cumulants of renewal processes’, Biometrika 46 (1959), 129.CrossRefGoogle Scholar