In probability theory and statistics, the probit function is the quantile function associated with the standard normal distribution. It has applications...

In statistics, a probit model is a type of regression where the dependent variable can take only two values, for example married or not married. The word...

numbers in ( − ∞ , + ∞ ) {\displaystyle (-\infty ,+\infty )} , akin to the probit function. If p is a probability, then p/(1 − p) is the corresponding odds;...

In statistics and econometrics, the multinomial probit model is a generalization of the probit model used when there are several possible categories that...

interval distances between options. Multinomial logit Multinomial probit Ordered probit McCullagh, Peter (1980). "Regression Models for Ordinal Data". Journal...

yields the probit model. Its link is g ( p ) = Φ − 1 ( p ) . {\displaystyle g(p)=\Phi ^{-1}(p).\,\!} The reason for the use of the probit model is that...

customer decides to purchase. Techniques such as logistic regression and probit regression can be used for empirical analysis of discrete choice. Discrete...

In statistics and econometrics, the multivariate probit model is a generalization of the probit model used to estimate several correlated binary outcomes...

classification. Examples of ordinal regression are ordered logit and ordered probit. Ordinal regression turns up often in the social sciences, for example in...

regression models are the logit model (logistic regression) and the probit model (probit regression). Binary regression is principally applied either for...