Probit ("probability unit") regression is a classical machine learning technique that can be used for binary classification -- predicting an outcome that can only be one of two discrete values. For ...

The GLM procedure fits general linear models to data, and it can perform regression, analysis of variance, analysis of covariance, and many other analyses. The following features for regression ...

In 1991, the A.M. Best Company changed the schedules and procedures for assigning ratings to property-liability insurers. An explanation of this change is of interest to consumers, regulators, and ...

This is a preview. Log in through your library . Abstract As tour-based methods for activity and travel participation patterns replace trip-based methods, time-of-day (TOD) choice modeling remains ...

We examine whether the adoption of information security measures can reduce the probability of computer virus infection by using firm-level survey data and probit regression analysis. We find that ...

Probit regression is very similar to logistic regression and the two techniques typically give similar results. Probit regression tends to be used most often with finance and economics data, but both ...