Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

This article derives a new family of estimators, namely the minimum density power divergence estimators, as a robust generalization of the maximum likelihood estimator for the polytomous logistic ...

Brazilian Journal of Probability and Statistics, Vol. 33, No. 3 (2019), pp. 455-479 (25 pages) Tadikamalla and Johnson [Biometrika 69 (1982) 461–465] developed the LB distribution to variables with ...

The random forest model significantly outperformed all other models, including the logistic regression model that the entire paper focuses on, with an eventual AUC of 0.936 and an accuracy of 0.918.