Report on the application of statistical techniques to the analysis of computer codes

William Jay Conover

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Simulation Techniques and Applications Survey Sampling and Estimation Techniques Markov Chains and Monte Carlo Methods

Abstract

Two types of sampling plans are presented as alternatives to simple random sampling in Monte Carlo studies. These plans are shown to be improvements over simple random sampling with respect to the variance of a class of estimators which includes the sample mean and the sample cumulative distribution function. The partial rank correlation coefficient is presented as a measure of sensitivity. Examples and test cases are included. 14 figures, 5 tables.

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1983A review of error propagation analysis in systems 1989Sampling analysis of concrete structures for creep and shrinkage with correlated random material parameters 1984Definition and properties of a coefficient of sensitivity for mathematical models

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