Sammenlign metoder

	Latin Square og Greco-Latin Square Design	Split-plot eksperimentelt design
Fagområde	Forsøgsdesign	Forsøgsdesign
Familie	Hypothesis test	Hypothesis test
Oprindelsesår	1935	1935
Ophavsperson	Ronald A. Fisher	Frank Yates
Type	Parametric blocked ANOVA	Parametric mixed-model ANOVA
Oprindelig kilde	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443	Yates, F. (1935). Complex Experiments. Supplement to the Journal of the Royal Statistical Society, 2(2), 181–247.
Aliasser	Latin Square, Greco-Latin Square, Latin Kare ve Greco-Latin Kare Deseni	split-plot ANOVA, whole-plot sub-plot design, Bölünmüş Parsel Deseni (Split-Plot)
Relaterede	5	6
Resumé	The Latin square design is a blocked experimental design that simultaneously controls two independent nuisance factors — the row block and the column block — so that each treatment appears exactly once in every row and every column of an n×n arrangement. Formalised by Ronald A. Fisher in his 1935 monograph The Design of Experiments, the design dramatically reduces experimental error by absorbing variation from two extraneous sources before the treatment effects are estimated.	The split-plot design is a parametric experimental design that applies one factor to large whole plots and a second factor to subdivisions (sub-plots) within each whole plot. It was introduced by Frank Yates in 1935 to handle agricultural experiments where one factor — such as irrigation or tillage method — is difficult or impractical to change frequently, while a second factor can be varied more easily within the same plot.