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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Bibliografske podrobnosti
Glavni avtor: Konis, K
Drugi avtorji: Ripley, B
Format: Thesis
Jezik:English
Izdano: 2007
Teme:

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