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Jagatud katselappidega eksperimendi disain (Split-Plot Experimental Design)×Randomized Complete Block Design (RCBD)×
ValdkondKatsedisainKatsedisain
PerekondHypothesis testHypothesis test
Tekkeaasta19351935
LoojaFrank YatesRonald A. Fisher
TüüpParametric mixed-model ANOVAParametric blocked ANOVA
AlgallikasYates, F. (1935). Complex Experiments. Supplement to the Journal of the Royal Statistical Society, 2(2), 181–247. DOI ↗Montgomery, D.C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1-119-32093-7
Rööpnimetusedsplit-plot ANOVA, whole-plot sub-plot design, Bölünmüş Parsel Deseni (Split-Plot)RCBD, randomized block design, complete block design, Tesadüf Bloklu Desen (RCBD)
Seotud66
KokkuvõteThe 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.
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ScholarGateVõrdle meetodeid: Split-Plot Design · Randomized Complete Block Design. Loetud 2026-06-15 aadressilt https://scholargate.app/et/compare