Usporedite metode

Pregledajte odabrane metode jednu uz drugu; retci koji se razlikuju su istaknuti.

Pokusni nacrt s podijeljenim parcelama×Slučajni potpuni blok-pokusni nacrt (RCBD)×
PodručjeEksperimentalni dizajnEksperimentalni dizajn
ObiteljHypothesis testHypothesis test
Godina nastanka19351935
TvoracFrank YatesRonald A. Fisher
VrstaParametric mixed-model ANOVAParametric blocked ANOVA
Temeljni izvorYates, 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
Drugi nazivisplit-plot ANOVA, whole-plot sub-plot design, Bölünmüş Parsel Deseni (Split-Plot)RCBD, randomized block design, complete block design, Tesadüf Bloklu Desen (RCBD)
Srodne66
SažetakThe 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.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretraživanje Download slides

ScholarGateUsporedite metode: Split-Plot Design · Randomized Complete Block Design. Preuzeto 2026-06-15 s https://scholargate.app/hr/compare