Regression model

Robusni model mešovitih efekata

Robusni mešoviti model je model mešovitih efekata za panelne podatke i podatke ponovljenih merenja koji toleriše odstupajuće vrednosti i greške sa teškim repovima. Zamenjuje uobičajenu verodostojnost (likelihood) jednačinama za procenu sa ograničenim uticajem, nadograđujući se na robusnu maksimalnu verodostojnost sa rezidualima (restricted maximum likelihood) Richardson-a i Welsh-a (1995) i implementaciju robustlmm Koller-a (2016).

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Izvori

  1. Koller, M. (2016). robustlmm: An R Package for Robust Estimation of Linear Mixed-Effects Models. Journal of Statistical Software, 75(6), 1-24. DOI: 10.18637/jss.v075.i06
  2. Richardson, A. M. & Welsh, A. H. (1995). Robust Restricted Maximum Likelihood in Mixed Linear Models. Biometrics, 51(4), 1429-1439. DOI: 10.2307/2533273

Kako citirati ovu stranicu

ScholarGate. (2026, June 1). Robust Linear Mixed-Effects Model. ScholarGate. https://scholargate.app/sr/statistics/robust-mixed-model

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Citirana u

ScholarGateRobust Mixed Model (Robust Linear Mixed-Effects Model). Preuzeto 2026-06-15 sa https://scholargate.app/sr/statistics/robust-mixed-model · Skup podataka: https://doi.org/10.5281/zenodo.20539026