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...

詳細記述

書誌詳細
第一著者: Konis, K
その他の著者: Ripley, B
フォーマット: 学位論文
言語:English
出版事項: 2007
主題:

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