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

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...

Полное описание

Библиографические подробности
Главный автор:	Konis, K
Другие авторы:	Ripley, B
Формат:	Диссертация
Язык:	English
Опубликовано:	2007
Предметы:	Statistics (see also social sciences) Computationally-intensive statistics

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