Logit - Uses and Properties

Uses and Properties

• The logit in logistic regression is a special case of a link function in a generalized linear model: it is the canonical link function for the binomial distribution.
• The logit function is the negative of the derivative of the binary entropy function.
• The logit is also central to the probabilistic Rasch model for measurement, which has applications in psychological and educational assessment, among other areas.
• The inverse-logit function is also sometimes referred to as the expit function.
• In plant disease epidemiology the logit is used to fit the data to a logistic model. With the Gompertz and Monomolecular models all three are known as Richards family models.