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 ...

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

For decades, logistics was the underdog of commerce. Tucked behind sleek product design and splashy marketing campaigns, it was typically treated as a cost center and necessary evil to get goods from ...