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Višestruka faktorska analiza×Fuzzy ANOVA×
OblastPsihometrijaPsihometrija
PorodicaLatent structureLatent structure
Godina nastanka19852011
TvoracBrigitte Escofier, Jérôme PagèsReinhard Viertl
TipMultiblock dimension reductionAnalysis of variance for fuzzy data
Temeljni izvorEscofier, B., & Pagès, J. (1985). Analyses factorielles simples et multiples : Objectifs, méthodes et interprétation. Dunod. ISBN: 9782040116835Viertl, R. (2011). Statistical Methods for Fuzzy Data. Wiley. ISBN: 9780470664802
Drugi naziviMFA, MFA multiple
Srodne54
SažetakMultiple Factor Analysis (MFA) is a dimension reduction technique developed by Escofier and Pagès (1985) for analyzing multiple groups of variables measured on the same observations. MFA balances the influence of each variable group to provide a unified view of how observations relate across multiple perspectives.Fuzzy ANOVA extends classical analysis of variance to fuzzy data where observations and group memberships are imprecise or uncertain. Developed by Viertl and others, Fuzzy ANOVA tests whether fuzzy-valued groups differ significantly while accounting for inherent measurement uncertainty.
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ScholarGateUporedite metode: Multiple Factor Analysis · Fuzzy ANOVA. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare