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Time dependent analysis of multivariate marked renewal processes

Published online by Cambridge University Press:  14 July 2016

Jewgeni H. Dshalalow*
Affiliation:
Florida Institute of Technology
*
Postal address: Applied Mathematics Program, Division of Mathematical Sciences, College of Science and Liberal Arts, Florida Institute of Technology, Melbourne, FL 32901, USA. Email address: eugene@fit.edu

Abstract

The paper examines multivariate delayed marked renewal processes, of which one component is formed by a delayed compound Poisson process observed at epochs of some point process. In addition, the values of these observations (and other components) are watched when crossing their respective thresholds and the value of the original Poisson process at any moment of time, past the first passage time, is the objective of this investigation. The results (which are imperative for classes of semiregenerative processes) are given in closed analytical forms and illustrated on various stochastic models.

Type
Research Papers
Copyright
Copyright © by the Applied Probability Trust 2001 

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