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Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.

Model Robust de Efecte Mixte Liniare×Modelul cu Efecte Fixe pentru Date Panou×
DomeniuStatisticăEconometrie
FamilieRegression modelRegression model
Anul apariției20162014
Autorul originalRichardson & Welsh (robust REML); Koller (robustlmm implementation)Hsiao (textbook treatment); within transformation of panel data
TipRobust linear mixed-effects modelPanel data regression
Sursa seminalăKoller, M. (2016). robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models. Journal of Statistical Software, 75(6), 1-24. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
Denumiri alternativerobust mixed-effects model, robust linear mixed model, robust LMM, Robust Karma Etkiler Modelifixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Înrudite55
RezumatThe robust mixed model is a linear mixed-effects model for panel and repeated-measures data that tolerates outliers and heavy-tailed errors. It replaces the usual likelihood with bounded-influence estimating equations, building on the robust restricted maximum likelihood of Richardson and Welsh (1995) and the robustlmm implementation of Koller (2016).The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
ScholarGateSet de date
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  2. 2 Surse
  3. PUBLISHED
  1. v1
  2. 2 Surse
  3. PUBLISHED

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ScholarGateCompară metode: Robust Mixed Model · Panel Fixed Effects. Preluat la 2026-06-15 de pe https://scholargate.app/ro/compare