Best-subset model selection based on multitudinal assessments of likelihood improvements

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Détails bibliographiques
Publié dans:Journal of applied statistics. - 1991. - 47(2020), 13-15 vom: 09., Seite 2384-2420
Auteur principal: Carter, Knute D (Auteur)
Autres auteurs: Cavanaugh, Joseph E
Format: Article en ligne
Langue:English
Publié: 2020
Accès à la collection:Journal of applied statistics
Sujets:Journal Article 62F07 Akaike information criterion Bayesian information criterion likelihood ratio linear models regression variable selection