The equation for p is called the logistic sigmoid function. When computing logistic regression, a z value can be anything from minus infinity to plus infinity, but a p value will always be between 0 ...

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

A variable undergoing logistic growth initially grows exponentially. After some time, the rate of growth decreases and the function levels off, forming a sigmoid, or s-shaped curve. For example ...

Linear, logarithmic, convex saturation and logistic functions generally were inappropriate. However, the two sigmoid models produced unstable results with arbitrary parameter estimates, and the ...

The equation for p is called the logistic sigmoid function. When computing logistic regression, a z value can be anything from minus infinity to plus infinity, but a p value will always be between 0 ...