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THIRTY YEARS OF “BATCH SIZE EFFECTS”

By S. Jain, R. R. Creasey, J. Himmelspach, K. P. White, M. Fu and Barry L. Nelson

Abstract

The method of non-overlapping batch means is the standard for constructing a confidence interval for the mean of a steady-state simulation output. In “Batch Size Effects in the Analysis of Simulation Output,” published in Operations Research in 1982, Schmeiser recast the problem of selecting a batch size by examining the marginal benefit of attaining the largest number of batches (smallest batch size) that still yields a valid confidence interval. His formulation of the problem, and the conclusions he reached, influenced nearly all later work on batching and batching algorithms for confidence-interval estimation.

Year: 2014
OAI identifier: oai:CiteSeerX.psu:10.1.1.416.3471
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