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 ...

Journal of the Royal Statistical Society. Series C (Applied Statistics) A discrete alternative to the logistic growth function is derived by forming the difference equation corresponding to the ...