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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| Формат: | Дисертація |
| Мова: | English |
| Опубліковано: |
2007
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