A Weighted Least Squares Approach to Computer Simulation Factor Screening
Douglas J. Morrice and
Indranil R. Bardhan
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Indranil R. Bardhan: University of Texas at Austin, Austin, Texas
Operations Research, 1995, vol. 43, issue 5, 792-806
Abstract:
In this paper, we develop a weighted least squares (WLS) approach to computer simulation factor screening. Like frequency domain methodology (FDM), the regression analysis is performed in the frequency domain. However, unlike FDM, where unknown nuisance parameters are eliminated by cancellation in a ratio statistic, the WLS procedure is designed to estimate these parameters (the WLS weights) and incorporate this information into the regression analysis. We propose and compare one- and two-run approaches for estimating the weights in the WLS approach.
Keywords: simulation; design of experiments: computer simulation factor screening (search for similar items in EconPapers)
Date: 1995
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Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:43:y:1995:i:5:p:792-806
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