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A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code

Technometrics · 2000 · Vol. 42(1) · pp. 55–55

Michael D. McKay✉(Los Alamos National Laboratory)Richard J. Beckman(Los Alamos National Laboratory)W. J. Conover(Texas Tech University)

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Abstract

Two types of sampling plans are examined as alternatives to simple random sampling in Monte Carlo studies. These plans are shown to be improvements over simple random sampling with respect to variance for a class of estimators which includes the sample mean and the empirical distribution function.

Optimal Experimental Design Methods Advanced Statistical Process Monitoring Probabilistic and Robust Engineering DesignSimple random sampleEstimatorStatisticsMonte Carlo methodSampling (signal processing)MathematicsSimple (philosophy)Sampling designVariance (accounting)Importance sampling

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