Latin hypercube sampling (abbreviated LHS) is an approximate random sampling method from multivariate parameter distribution. It belongs to stratified sampling technology and is commonly used in computer experiments or Monte Carlo integration.

Filename	Size	Update
e702633d	0	2020-05-29
e702633d\contents.m	1411	2012-03-19
e702633d\latin_hs.m	1350	2020-05-29
e702633d\LHS.pdf	65082	2012-03-19
e702633d\lhsu.m	479	2012-03-19
e702633d\lhs_empir.m	490	2012-03-19
e702633d\lhs_empirco.m	611	2012-03-19
e702633d\lhs_iman.m	1296	2012-03-19
e702633d\lhs_iman_n.m	1488	2012-03-19
e702633d\lhs_stein.m	1161	2012-03-19
e702633d\ltqnorm.m	3081	2012-03-19
e702633d\mchol.m	2164	2012-03-19
e702633d\ranking.m	558	2012-03-19
e702633d\rank_corr.m	915	2012-03-19
e702633d\ransamp.m	570	2012-03-19
e702633d\test_sampling.m	1365	2012-03-19
e702633d\test_sampling2.m	839	2012-03-19

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