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 ...

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 ...

This is a preview. Log in through your library . Abstract Quantal bioassay experiments relate the amount or potency of some compound; for example, poison, antibody, or drug to a binary outcome such as ...

来自布基纳法索的研究团队针对农业家庭中女性赋权水平与粮食安全的关联性开展研究，运用扩展有序概率模型(extended ordered probit model)分析人口健康调查数据，证实妇女赋权能显著降低家庭粮食不安全指数和饥饿指数，为制定改善民生政策提供重要依据。

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 ...