Abstract: A recently developed method for estimating confidence intervals when simulating stochastic systems having a regenerative structure is reviewed. The paper is basically tutorial, but also considers the pragmatic issue of the simulation duration required to obtain valid estimates. The method is illustrated in terms of simulating the M/G / 1 queue. Analytic results for the M/G / 1 queue are used t
We present a new method for obtaining confidence intervals in steady-state simulation. In our replic...
The authors modify an earlier approach developed for reducing the bias of the estimator for the mean...
Sequential analysis of simulation output is generally accepted as the most efficient way for securi...
We propose nonstandard simulation estimators of expected time averages over finite intervals [0, t],...
This article is concerned with the calculation of confidence intervals for simulation output that is...
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 ...
The credibility of the final results from stochastic simulation has had limited discussion in the si...
The standard regenerative method for estimating steady-state parameters is extended to permit cycles...
The paper is devoted to the method of determining the simulation duration sufficient for estimating ...
We develop a class of techniques for analyzing the output of simulations of a semi-regenerative proc...
The special structure of regenerative processes is exploited to derive a new point estimate with ver...
A persistent problem in computational cognitive modeling is that many models are stochastic. If a mo...
The credibility of estimated confidence intervals for mean values produced by quantitative stochasti...
The oldest stochastic approximation method is the Robbins–Monro process. This estimates an unknown s...
We present a new method for obtaining confidence intervals in steady-state simulation. In our replic...
The authors modify an earlier approach developed for reducing the bias of the estimator for the mean...
Sequential analysis of simulation output is generally accepted as the most efficient way for securi...
We propose nonstandard simulation estimators of expected time averages over finite intervals [0, t],...
This article is concerned with the calculation of confidence intervals for simulation output that is...
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 ...
The credibility of the final results from stochastic simulation has had limited discussion in the si...
The standard regenerative method for estimating steady-state parameters is extended to permit cycles...
The paper is devoted to the method of determining the simulation duration sufficient for estimating ...
We develop a class of techniques for analyzing the output of simulations of a semi-regenerative proc...
The special structure of regenerative processes is exploited to derive a new point estimate with ver...
A persistent problem in computational cognitive modeling is that many models are stochastic. If a mo...
The credibility of estimated confidence intervals for mean values produced by quantitative stochasti...
The oldest stochastic approximation method is the Robbins–Monro process. This estimates an unknown s...
We present a new method for obtaining confidence intervals in steady-state simulation. In our replic...
The authors modify an earlier approach developed for reducing the bias of the estimator for the mean...
Sequential analysis of simulation output is generally accepted as the most efficient way for securi...