| publication name | Logistic regression parameters estimation by likelihood method |
|---|---|
| Authors | Diab T.O. |
| year | 2004 |
| keywords | MATLAB, likelihood , Logistic Regression |
| journal | Scientific conference II in MATLAB |
| volume | Not Available |
| issue | Not Available |
| pages | 116-120 |
| publisher | Not Available |
| Local/International | International |
| Paper Link | Not Available |
| Full paper | download |
| Supplementary materials | Not Available |
Abstract
Logistic Regression (LR) is a well known classification method in the field of statistical learning. It allows probabilistic classification and shows promising results on several benchmark problems. Logistic regression enables us to investigate the relationship between a categorical outcome and a set of explanatory variables. In this paper, likelihood method is used to evaluate the parameters of logistic regression.