ScholarGate
Assistant

Comparer des méthodes

Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.

Plan factoriel fractionnaire 2^(k-p)×Schéma d'expérimentation complètement aléatoire (CRD)×
DomainePlans d'expériencesPlans d'expériences
FamilleHypothesis testHypothesis test
Année d'origine19611935
Auteur d'origineGeorge E. P. Box and J. Stuart HunterR. A. Fisher
TypeScreening and economical factorial designParametric group comparison via one-way ANOVA
Source fondatriceBox, G.E.P. & Hunter, J.S. (1961). The 2^(k-p) Fractional Factorial Designs. Technometrics, 3(3), 311–351. link ↗Montgomery, D.C. (2017). Design and Analysis of Experiments. Wiley. ISBN: 978-1119320937
Alias2^k-p design, fractional factorial, screening design, Kesirli Faktöriyel Desen (2^k-p Fractional Factorial)CRD, completely randomised design, one-way experimental design, Tam Tesadüf Deneme Deseni (CRD)
Apparentées73
RésuméThe fractional factorial design is an economical experimental strategy that investigates k factors by running only a carefully chosen 1/2^p fraction of the full 2^k factorial experiment. Formalized by George E. P. Box and J. Stuart Hunter in their landmark 1961 Technometrics paper, it exploits the sparsity-of-effects principle — that high-order interactions are typically negligible — to screen many factors with far fewer runs than a complete factorial would require.The completely randomized design is the most fundamental experimental design, in which experimental units are assigned to treatments entirely at random with no restrictions. Analysed by one-way ANOVA, it was formalised by R. A. Fisher in the 1930s and remains the reference starting point for experimental research whenever the experimental material is homogeneous and nuisance variation is absent or negligible.
ScholarGateJeu de données
  1. v1
  2. 2 Sources
  3. PUBLISHED
  1. v1
  2. 2 Sources
  3. PUBLISHED

Aller à la recherche Télécharger les diapositives

ScholarGateComparer des méthodes: Fractional Factorial Design · Completely Randomized Design. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare