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Експериментален дизайн с разделени парцели×Рандомизиран пълен блокиран дизайн (RCBD)×
ОбластПланиране на експериментаПланиране на експеримента
СемействоHypothesis testHypothesis test
Година на възникване19351935
СъздателFrank YatesRonald A. Fisher
ТипParametric mixed-model ANOVAParametric blocked ANOVA
Основополагащ източникYates, 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
Други названияsplit-plot ANOVA, whole-plot sub-plot design, Bölünmüş Parsel Deseni (Split-Plot)RCBD, randomized block design, complete block design, Tesadüf Bloklu Desen (RCBD)
Свързани66
РезюмеThe 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.
ScholarGateНабор от данни
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ScholarGateСравнение на методи: Split-Plot Design · Randomized Complete Block Design. Извлечено на 2026-06-15 от https://scholargate.app/bg/compare