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Line 1: {{Short description\|Statistical sampling technique}} '''Latin hypercube sampling''' ('''LHS''') is a [[statistics\|statistical]] method for generating samples following a [[~~near-random~~Pseudorandomness]] ~~sample~~ 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]]. LHS was described by Michael McKay of Los Alamos National Laboratory in 1979.<ref name = "C3M">{{cite journal

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