Comparer des méthodes

	Schéma expérimental en parcelles divisées	Dispositif en blocs aléatoires complets (DBAC)
Domaine	Plans d'expériences	Plans d'expériences
Famille	Hypothesis test	Hypothesis test
Année d'origine	1935	1935
Auteur d'origine	Frank Yates	Ronald A. Fisher
Type	Parametric mixed-model ANOVA	Parametric blocked ANOVA
Source fondatrice	Yates, F. (1935). Complex Experiments. Supplement to the Journal of the Royal Statistical Society, 2(2), 181–247.	Montgomery, D.C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1-119-32093-7
Alias	split-plot ANOVA, whole-plot sub-plot design, Bölünmüş Parsel Deseni (Split-Plot)	RCBD, randomized block design, complete block design, Tesadüf Bloklu Desen (RCBD)
Apparentées	6	6
Résumé	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.	The Randomized Complete Block Design (RCBD) is a parametric experimental design and hypothesis-testing framework that isolates and removes a known source of heterogeneity — called a block — before comparing treatment means. Introduced by Ronald A. Fisher in his 1935 monograph The Design of Experiments, it remains the foundational blocked design in agricultural, clinical, and industrial research.