Latin hypercube sampling: Difference between revisions

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'''Latin hypercube sampling''' ('''LHS''') is a [[statistics|statistical]] method for generating a near-random sample of plausible collections of parameter values from a [[multidimensional distribution]]. The [[Sampling (statistics)|sampling method]] is often used to construct [[computer experiment]]s or for Monte-Carlo integration.
 
The LHS was described by McKay in 1979.<ref name = "C3M">{{cite journal