Latin hypercube sampling: Difference between revisions

Revision as of 21:19, 26 September 2006

Revision as of 21:12, 9 October 2006

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The [[statistics|statistical]] method of '''Latin hypercube sampling''' (LHS) was developed along by [[Ronald L. Iman]], J. C. Helton, and J.James E. Campbell, et al to generate a distribution of plausible collections of parameter values from a [[multidimensional distribution]].

Their paper ''An approach to sensitivity analysis of computer models, Part I. Introduction, input variable selection and preliminary variable assessment.'' appeared in the Journal of Quality Technology in [[1981]]. Earlier, M.D. McCay already described this technique in McKay, M. D., W. J. Conover and R. J. Beckman. 1979.