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, an ...

Several models have been proposed to describe germination rates, but most are limited in statistical analysis and biological meaning of indices. Therefore, a mathematical model is proposed to utilize ...

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 ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...