# Probit Model

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

A probit model is a popular specification for an ordinal or a binary response model that employs a probit link function. This model is most often estimated using standard maximum likelihood procedure, such an estimation being called a probit regression.

Probit models were introduced by Chester Bliss in 1934, and a fast method for computing maximum likelihood estimates for them was proposed by Ronald Fisher in an appendix to Bliss 1935.

### Other articles related to "probit model, model, models, probit":

Predictive Analytics - Statistical Techniques - Discrete Choice Models - Logit Versus Probit
... The Probit model has been around longer than the logit model ... One of the reasons the logit model was formulated was that the probit model was computationally difficult due to the requirement of numerically calculating integrals ... The coefficients obtained from the logit and probit model are fairly close ...
Probit Model - Gibbs Sampling
... Gibbs sampling of a probit model is possible because regression models typically use normal prior distributions over the weights, and this distribution is ... The model can be described as From this, we can determine the full conditional densities needed The result for β is given in the article on Bayesian linear ... using approximations to the normal CDF and the probit function, and R has a function rtnorm for generating truncated-normal samples ...
Multinomial Probit - Example: Bivariate Probit
... In the Ordinary Probit model, one latent variable is used, in the bivariate probit model there are two and ... variables are defined as Fitting the bivariate probit model involves estimating the values of ... To do so, the Likelihood of the model has to be maximized ...
Multinomial Probit
... In statistics and econometrics, the multinomial probit model (or multivariate probit model) is a generalization of the probit model used to estimate several ... budget are correlated (both decisions are binary), then the multinomial probit model would be appropriate ...

### Famous quotes containing the word model:

One of the most important things we adults can do for young children is to model the kind of person we would like them to be.
Carol B. Hillman (20th century)