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» Simulation output analysis via dynamic batch means
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WSC
2008
13 years 7 months ago
Implementable MSE-optimal dynamic partial-overlapping batch means estimators for steady-state simulations
Estimating the variance of the sample mean from a stochastic process is essential in assessing the quality of using the sample mean to estimate the population mean which is the fu...
Wheyming Tina Song, Mingchang Chih
WSC
1997
13 years 6 months ago
Computational Efficiency Evaluation in Output Analysis
A central quantity in steady-state simulation is the time-average variance constant. Estimates of this quantity are needed (for example) for constructing confidence intervals, an...
Halim Damerdji, Shane G. Henderson, Peter W. Glynn
WSC
1997
13 years 6 months ago
Computational Experience with the Batch Means Method
This article discusses implementation issues for the LBATCH and ABATCH batch means procedures of Fishman and Yarberry (1997). Theses procedures dynamically increase the batch size...
Christos Alexopoulos, George S. Fishman, Andrew F....
WSC
2004
13 years 6 months ago
Experimental Performance Evaluation of Histogram Approximation for Simulation Output Analysis
We summarize the results of an experimental performance evaluation of using an empirical histogram to approximate the steady-state distribution of the underlying stochastic proces...
E. Jack Chen, W. David Kelton
WSC
1996
13 years 6 months ago
Experimental Evaluation of Confidence Interval Procedures in Sequential Steady-State Simulation
Sequential analysis of simulation output is generally accepted as the most efficient way for securing representativeness of samples of collected observations. In this scenario a s...
Donald C. McNickle, Krzysztof Pawlikowski, Gregory...