Linear programming algorithms for detecting separated data in binary logistic regression models

This thesis is a study of the detection of separation among the sample points in binary logistic regression models. We propose a new algorithm for detecting separation and demonstrate empirically that it can be computed fast enough to be used routinely as part of the fitting process for logistic reg...

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Détails bibliographiques
Auteur principal: Konis, K
Autres auteurs: Ripley, B
Format: Thèse
Langue:English
Publié: 2007
Sujets:

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