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 ...

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 ...

For a 1963 example of how a sigmoid function and curve can be used, see Reference 1. An electro-optical instrument measures the capacity of red blood cell membranes as their internal pressure ...