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 ...

2021 FEB 12 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- New research on risk management is the subject of a new report. According to news reporting out of the Faculty of ...

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 43, No. 3 (September/septembre 2015), pp. 337-357 (21 pages) Multivariate ordinal data are modelled as a finite ...

As part of an experimental study of the effect of stopping iterative maximum likelihood calculations after one cycle, twenty-one scientists were asked to judge by eye the positions for a pair of ...

The estimation of empirical models is essential to public policy analysis and social science research. Ordinary Least Squares (OLS) regression analysis is the most frequently used empirical model, and ...

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 ...