W. David Kelton

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Multiple independent streams of random numbers are often required in simulation studies, for instance, to facilitate synchronization for variance-reduction purposes, and for making independent replications. A portable set of software utilities is described for uniform randomnumber generation. It provides for multiple generators (streams) running(More)
This paper discusses implementation of a two-stage procedure to determine the simulation run length for selecting the best of <i>k</i> designs. We purpose an <i>Enhanced Two-Stage Selection</i> (ETSS) procedure. The number of additional replications at the second stage for each design is determined by both the variances of the sample means and the(More)
This tutorial introduces some of the ideas, issues, challenges, solutions, and opportunities in deciding how to experiment with a simulation model to learn about its behavior. Careful planning, or designing, of simulation experiments is generally a great help, saving time and effort by providing efficient ways to estimate the effects of changes in the(More)
This paper discusses implementation of a sequential quantileestimation algorithm for highly correlated steady-state simulation output. Our primary focus is on issues related to computational and storage requirements of order statistics. The algorithm can compute exact sample quantiles and process sample sizes up to several billion without storing and(More)
Providing equitable voting experiences across voting precincts has been noted as an important goal in elections. We seek to provide equity to all voters so that no one particular group of voters is disadvantaged or disenfranchised. This paper uses the average absolute differences of waiting times across all precincts as a performance metric for equity. A(More)
After a general simulation model is built, coded, verified, and validated, it is used to learn about the system(s) under study, requiring careful prior design of the runs and appropriate analysis of their output. This paper surveys methods for effective and efficient design and analysis of simulation experiments.