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| Analisi delle Componenti Principali Multi-Gruppo× | ANOVA Fuzzy× | |
|---|---|---|
| Campo | Psicometria | Psicometria |
| Famiglia | Latent structure | Latent structure |
| Anno di origine≠ | 1985 | 2011 |
| Ideatore≠ | Brigitte Escofier, Jérôme Pagès | Reinhard Viertl |
| Tipo≠ | Multiblock dimension reduction | Analysis of variance for fuzzy data |
| Fonte seminale≠ | Escofier, B., & Pagès, J. (1985). Analyses factorielles simples et multiples : Objectifs, méthodes et interprétation. Dunod. ISBN: 9782040116835 | Viertl, R. (2011). Statistical Methods for Fuzzy Data. Wiley. ISBN: 9780470664802 |
| Alias≠ | MFA, MFA multiple | — |
| Correlati≠ | 5 | 4 |
| Sintesi≠ | Multiple 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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