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<![CDATA[GT INFORMS Student Chapter  ASAP2: An improved batch means procedure for steadystate]]>
We introduce ASAP2, a variant of the batchmeans algorithm ASAP for steadystate simulation output analysis. ASAP2 operates as follows: the batch size is progressively increased until the batch means pass the ShapiroWilk test for multivariate normality; and then ASAP delivers an adjusted confidence interval. The latter adjustment is based on an inverted CornishFisher expansion for the classical NOBM tratio, where the terms of the expansion are estimated via an orderone autoregressive time series model of the batch means. In comparison to the widely used ABATCH and LBATCH algorithms, we found ASAP2 to deliver confidence intervals that not only satisfy a userspecified absolute or relative precision requirement but also outperform ABATCH and LBATCH with respect to confidenceinterval coverage probability.]]>





Barbara Christopher
Industrial and Systems Engineering
Contact Barbara Christopher
404.385.3102]]>




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