Latin hypercube sampling: Difference between revisions

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Revision as of 21:49, 21 May 2005

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The [[statistical]] method '''Latin hypercube sampling''' was developed and invented by [[Ronald L. Iman]], J. C. Helton, and J. 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]].

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[[Category:Statistics]]