New variance-reduction technique for regenerative simulations of Markov chains

Document Type

Conference Proceeding

Publication Date

12-1-1997

Abstract

We propose a new estimator for some performance measures obtained from a regenerative simulation of a discrete-time Markov chain. Our new estimator is based on the idea of generating (uniform) random permutations of cycles corresponding to a certain state, and it has no larger (and typically smaller) mean squared error than the standard estimator. We show that our method can be used to derive a new estimator for the time-average variance parameter of a regenerative simulation.

Identifier

0031356299 (Scopus)

Publication Title

Winter Simulation Conference Proceedings

ISSN

02750708

First Page

224

Last Page

229

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