مقایسهٔ روش‌ها

	Latin Hypercube Sampling	طراحی آزمایش‌ها
حوزه	شبیه‌سازی	طراحی آزمایش
خانواده	Process / pipeline	Process / pipeline
سال پیدایش	1979	1935
پدیدآور	—	Ronald A. Fisher
نوع	Stratified space-filling sampling design	Experimental planning framework
منبع بنیادین	McKay, M.D., Beckman, R.J. & Conover, W.J. (1979). A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code. Technometrics, 21(2), 239-245.	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
نام‌های دیگر	LHS, Latin Hiperküp Örnekleme (LHS) ve Duyarlılık Analizi, stratified sampling design, space-filling design	DOE, experimental design, factorial experimentation, planned experimentation
مرتبط	4	3
خلاصه	Latin Hypercube Sampling (LHS) is a stratified space-filling design for computer experiments, introduced by McKay, Beckman, and Conover in 1979. It divides each input variable's range into equally probable strata and draws exactly one sample per stratum, ensuring that the full input space is covered with far fewer model evaluations than standard Monte Carlo simulation requires. It is routinely paired with global sensitivity analysis — particularly Sobol indices — to quantify how much each input drives output variability.	Design of Experiments (DOE) is a systematic framework for planning, conducting, and analyzing controlled experiments to determine how multiple input factors simultaneously affect one or more responses. Introduced by Ronald A. Fisher in 1935, DOE allows researchers and engineers to identify causal relationships, quantify factor effects, and find optimal settings efficiently — using far fewer runs than one-factor-at-a-time approaches. It is foundational in engineering, manufacturing, agriculture, and applied sciences.