NichtparametrischeMaximum-Likelihood-Schätzung bei Generalisierten Linearen Mischmodellen
DOI:
https://doi.org/10.17713/ajs.v26i1.540Abstract
Die Arbeit untersucht algorithmische Aspekte des EM Algorithmus in Generalisierten Linearen Mischmodellenmit unbekannter Effekt-Verteilung.Die nichtparametrische Maximum-Likelihood Schätzung entspricht der Aufnahme zusätzlicher Prädiktor-Parameter und kann durch eine künstliche Datenreplikation realisiert werden.References
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