ScholarGate
Асистент

Сравнение на методи

Прегледайте избраните методи един до друг; редовете с разлики са откроени.

Латински квадрат и Гръко-латински квадрат×Експериментален дизайн с разделени парцели×
ОбластПланиране на експериментаПланиране на експеримента
СемействоHypothesis testHypothesis test
Година на възникване19351935
СъздателRonald A. FisherFrank Yates
ТипParametric blocked ANOVAParametric mixed-model ANOVA
Основополагащ източникMontgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443Yates, F. (1935). Complex Experiments. Supplement to the Journal of the Royal Statistical Society, 2(2), 181–247. DOI ↗
Други названияLatin Square, Greco-Latin Square, Latin Kare ve Greco-Latin Kare Desenisplit-plot ANOVA, whole-plot sub-plot design, Bölünmüş Parsel Deseni (Split-Plot)
Свързани56
РезюмеThe 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.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

Към търсенето Изтегляне на слайдове

ScholarGateСравнение на методи: Latin Square Design · Split-Plot Design. Извлечено на 2026-06-15 от https://scholargate.app/bg/compare