Time series: theory and methods
Time series: theory and methods
A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
Simulation output analysis using standardized time series
Mathematics of Operations Research
Overlapping batch means: something for nothing?
WSC '84 Proceedings of the 16th conference on Winter simulation
Batch variance estimators for the median of simulation output
Operations Research Letters
Thirty years of "batch size effects"
Proceedings of the Winter Simulation Conference
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We examine a variant of the familiar batch means (BM) method for analysis of a stationary (simulation) process. Our spaced batch means (SBM) method attempts to reduce the bad effects of interbatch correlation by inserting spacers between the batches of observations. We present analytical examples in which SBM yields an estimator for the variance parameter that is less biased than the corresponding BM estimator. We also give analytical examples in which SBM improves coverage of confidence intervals for the mean of the process. Under negative serial correlation, SBM sometimes fares significantly better than BM; under positive serial correlation, SBM usually does only a bit better than BM.