The special structure of regenerative processes is exploited to derive a new point estimate with very low bias for steady state quantities of regenerative simulations. If the simulation run length is t units of tune, the bias of the new estimate is of order 1/t 2 as opposed to the bias of order 1/t associated with more standard estimates. The bias reduction is achieved by continuing the simulation until the first regeneration after time t and then forming the ratio estimate which involves the random number of regenerative cycles observed during the simulation. Empirical results for several queueing models demonstrate that the bias reduction can be substantial for small values of t.simulation, regenerative, bias reduction, renewal theory, cu...
In this paper we discuss the estimation of the loss probability in a queueing system with finite buf...
International audienceWe consider using simulation to estimate the mean hitting time to a set of sta...
We address performance issues associated with simulationbased algorithms for optimizing Markov rewar...
We propose nonstandard simulation estimators of expected time averages over finite intervals [0, t],...
We develop a class of techniques for analyzing the output of simulations of a semi-regenerative proc...
We compare several simulation estimators for a performance measure of a process having multiple rege...
The standard regenerative method for estimating steady-state parameters is extended to permit cycles...
We propose two-stage methods for selection and multiple comparisons with the best (MCB) of steady-st...
Abstract: A recently developed method for estimating confidence intervals when simulating stochastic...
Prepared for: Naval Postgraduate School Monterey, California 93940The independent block structure o...
Regenerative simulation (RS) is a method of stochastic steady-state simulation in which output data ...
We study precise conditions under which the cyclic regenerative confidence intervals of Sargent and ...
by Yuk-ka Chung.Thesis (M.Phil.)--Chinese University of Hong Kong, 1993.Includes bibliographical ref...
Conceptually, under restrictions, multiclass open queueing networks are positive Harris recurrent Ma...
Conceptually, under restrictions, multiclass open queueing networks are positive Harris recurrent Ma...
In this paper we discuss the estimation of the loss probability in a queueing system with finite buf...
International audienceWe consider using simulation to estimate the mean hitting time to a set of sta...
We address performance issues associated with simulationbased algorithms for optimizing Markov rewar...
We propose nonstandard simulation estimators of expected time averages over finite intervals [0, t],...
We develop a class of techniques for analyzing the output of simulations of a semi-regenerative proc...
We compare several simulation estimators for a performance measure of a process having multiple rege...
The standard regenerative method for estimating steady-state parameters is extended to permit cycles...
We propose two-stage methods for selection and multiple comparisons with the best (MCB) of steady-st...
Abstract: A recently developed method for estimating confidence intervals when simulating stochastic...
Prepared for: Naval Postgraduate School Monterey, California 93940The independent block structure o...
Regenerative simulation (RS) is a method of stochastic steady-state simulation in which output data ...
We study precise conditions under which the cyclic regenerative confidence intervals of Sargent and ...
by Yuk-ka Chung.Thesis (M.Phil.)--Chinese University of Hong Kong, 1993.Includes bibliographical ref...
Conceptually, under restrictions, multiclass open queueing networks are positive Harris recurrent Ma...
Conceptually, under restrictions, multiclass open queueing networks are positive Harris recurrent Ma...
In this paper we discuss the estimation of the loss probability in a queueing system with finite buf...
International audienceWe consider using simulation to estimate the mean hitting time to a set of sta...
We address performance issues associated with simulationbased algorithms for optimizing Markov rewar...