Bias Considerations in Simulation Experiments

1 August 1972

journal article
Published by Institute for Operations Research and the Management Sciences (INFORMS) in Operations Research

Vol. 20 (4) , 785-790
https://doi.org/10.1287/opre.20.4.785

Abstract

This paper uses a first-order autoregressive scheme to investigate the effects of initial conditions in a simulation on the estimation of the population mean of a process of interest. The effects are measured by bias and variance. The results show that the elimination of observations near the beginning of the simulation reduces bias, as intended, but increases the variance, sometimes significantly.

Keywords

BIAS
SCHEME
AUTOREGRESSIVE
INTEREST
INTENDED
PAPER USES
SIMULATION EXPERIMENTS
EXPERIMENTS THIS PAPER
CONSIDERATIONS IN SIMULATION

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