Article ID Journal Published Year Pages File Type
1152218 Statistics & Probability Letters 2012 9 Pages PDF
Abstract
In this paper, we consider a class of semi-Markov processes, known as phase semi-Markov processes, which can be considered as an extension of Markov processes, but whose times between transitions are phase-type random variables. Based on the theory of generalized inverses, we derive expressions for the moments of the first-passage time distributions, generalizing the results obtained by Kemeny and Snell (1960) for Markov chains.
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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