Questions tagged [probit]

This refers generally to statistical procedures that utilize the probit function. The primary example of which is probit regression where the probit transformation of the parameter p of a binary response distribution is used as a link.

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Finding likelihood for an individual observation with cumulative distribution function of a normal distribution [duplicate]

I have to write a probit model, which will describe the effect of an education program on a grade from an exam. The data is the following: GPA: grade point average TUCE: test score PSI: ...
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heavier tails means that it is less sensitive to outlying data for logistic and probit

This is the description of logistic regression and probit regression as generalized linear model from wiki: Both the logistic and normal distributions are ...
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Does the insignificance of a regressor imply insignificance of differenced predicted probabilities with respect to this regressor in probit model?

Suppose I fit a probit model (with two regressors) to data and obtain predicted probabilities: $\widehat{Pr}(Y=1|x_1,x_2)=\Phi(\beta_0+\widehat{\beta}_1x_1+\widehat{\beta}_2x_2)$. For simplicity, ...
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