In statistics, the logit (/ˈloʊdʒɪt/ LOH-jit) function is the quantile function associated with the standard logistic distribution. It has many uses in...

In statistics, the logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more...

In probability theory, a logit-normal distribution is a probability distribution of a random variable whose logit has a normal distribution. If Y is a...

Binary Logit, Binary Probit, Multinomial Logit, Conditional Logit, Multinomial Probit, Nested Logit, Generalized Extreme Value Models, Mixed Logit, and...

Mixed logit is a fully general statistical model for examining discrete choices. It overcomes three important limitations of the standard logit model...

In statistics, the ordered logit model (also ordered logistic regression or proportional odds model) is an ordinal regression model—that is, a regression...

including polytomous LR, multiclass LR, softmax regression, multinomial logit (mlogit), the maximum entropy (MaxEnt) classifier, and the conditional maximum...

Logit analysis is a statistical technique used in marketing research. It can be applied with regression analysis to customer targeting and to assess effectiveness...

link function is the canonical logit link: g ( p ) = logit ⁡ p = ln ⁡ ( p 1 − p ) . {\displaystyle g(p)=\operatorname {logit} p=\ln \left({p \over 1-p}\right)...

quantities other than transmission loss led to confusion, and suggested the name logit for "standard magnitudes which combine by multiplication", to contrast with...