Multivariate Batch Means and Control Variates

Wei-Ning Yang and Barry L. Nelson
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Wei-Ning Yang: National Taiwan Institute of Technology, Department of Information Management, Taipei, Taiwan
Barry L. Nelson: Department of Industrial and Systems Engineering, The Ohio State University, Columbus, Ohio 43210

Management Science, 1992, vol. 38, issue 10, 1415-1431

Abstract: We consider applying the nonoverlapping batch means output analysis method in conjunction with the control-variate variance-reduction technique to estimate a steady-state multivariate mean vector. The effects of the number of batches and the number of control variates on the multivariate point and region estimators and the univariate point and interval estimators are considered. The results are experiment analysis guidelines in terms of an appropriate range of the number of batches to choose as a function of the number of responses and control variates. The results have implications for terminating simulations as well.

Keywords: variance reduction; batch means; control variates; multivariate statistics (search for similar items in EconPapers)
Date: 1992
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:38:y:1992:i:10:p:1415-1431

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