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...
| Hoofdauteur: | |
|---|---|
| Andere auteurs: | |
| Formaat: | Thesis |
| Taal: | English |
| Gepubliceerd in: |
2007
|
| Onderwerpen: |