A generalization of the common logistic function is developed, incorporating a non-unit saturation level, a non-zero intercept, and a non-symmetric shape. The dependence of the three generalized ...

A mathematical model utilizing the geometric distribution for analyzing time-to-response data is described. This model takes into account concomitant information by means of a multivariate logistic ...

Learn what is Logistic Regression Cost Function in Machine Learning and the interpretation behind it. Logistic Regression Cost function is "error" representation of the model.