Latin hypercube sampling
id:
latin-hypercube-sampling-220-1504372
title:
Latin hypercube sampling
text:
Latin hypercube sampling (LHS) is a statistical method for generating a near-random sample of parameter values from a multidimensional distribution. The sampling method is often used to construct computer experiments or for Monte Carlo integration. LHS was described by Michael McKay of Los Alamos National Laboratory in 1979. An equivalent technique was independently proposed by Vilnis Eglājs in 1977. It was further elaborated by Ronald L. Iman and coauthors in 1981. Detailed computer codes and m
brand slug:
wiki
category slug:
encyclopedia
description:
Statistical sampling technique
original url:
https://en.wikipedia.org/wiki/Latin_hypercube_sampling
date created:
2004-06-08T20:01:46Z
date modified:
2024-09-13T15:34:26Z
main entity:
{"identifier":"Q6496514","url":"https://www.wikidata.org/entity/Q6496514"}
image:
fields total:
13
integrity:
15