Accession Number : AD0691297

Title :   SOME DISTRIBUTION AND MOMENT FORMULAE FOR THE MARKOV RENEWAL PROCESS.

Descriptive Note : Technical rept.,

Corporate Author : SOUTHERN METHODIST UNIV DALLAS TEX DEPT OF STATISTICS

Personal Author(s) : Kshirsagar,A. M. ; Wysocki,R.

Report Date : 10 JUN 1969

Pagination or Media Count : 16

Abstract : A Markov Renewal Process (M.R.P.) is a Markov chain, in which the time taken to move from one state to another is not fixed, but is a random variable, whose distribution depends on the two states between which the transition is made. If f sub ij (t) denotes the number of transitions from i to j (i,j = 1, ... , m) of such an M.R.P. in the time interval (0,6), F(t) = (f sub ij (t)) is called the transition count matrix of the M.R.P. The distribution of this matrix is derived in this paper; its first and second order moments are obtained and asymptotic expressions for these moments, when t is large, are also derived. These expressions are in terms of the basic quantities p sub ij, Q sub ij of the M.R.P. and not in terms of recurrence times, as obtained by Pyke, and hence more suitable. Distributions, moments, and cross moments of cumulative processes associated with the M.R.P. are also derived. (Author)

Descriptors :   (*STOCHASTIC PROCESSES, DISTRIBUTION THEORY), ANALYSIS OF VARIANCE, INTEGRAL TRANSFORMS, MATRICES(MATHEMATICS), STATISTICAL DISTRIBUTIONS, STATISTICAL PROCESSES, PROBABILITY

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE