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.
Read more about this topic: Logit
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