Convergence rates in matrix analytic models

Convergence rates in matrix analytic models

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Article ID: iaor19971510
Country: United States
Volume: 12
Issue: 2
Start Page Number: 265
End Page Number: 284
Publication Date: Feb 1996
Journal: Communications in Statistics - Stochastic Models
Authors: ,
Keywords: queues: theory
Abstract:

The authors consider a class of Markov chains equ1, which includes Markov chains of the equ2 type and the equ3 type. Here equ4 is the level process and equ5 the modulating process. This paper gives conditions under which equ6 is an upper bound for the convergence rate to stationarity for suitable functions equ7. Conditions for the convergence rate of equ8 to be equ9 for some equ10 are also given. Similar results are obtained for the workload in the equ11 queue. In addition, the paper extends various standard results on stopped sums from the i.i.d. to a Markov-modulated setting.

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