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...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखक:	Konis, K
अन्य लेखक:	Ripley, B
स्वरूप:	थीसिस
भाषा:	English
प्रकाशित:	2007
विषय:	Statistics (see also social sciences) Computationally-intensive statistics

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