Abstract: This paper aims to predict and analyze the distribution of Olympic medals by constructing a two-stage prediction framework based on Probit regression and the Tobit model. First, we ...

BOOKS on statistics are apt to be either shallow or obscure. A book which avoided both these dangers and yet covered the whole field would have to be a very long book ; but it is possible to achieve ...

Using binary models (logistic and probit) to analyze risk factors associated with type 2 diabetes based on BRFSS 2015 data. The study identifies key factors such as obesity, age, physical activity, ...

# Probit analysis is aborted control mortality is higher than 10%. # Probit analysis is aborted when any dose has a percent mortality equal or lower than controls or 100% mortality. # This script ...

Abstract: This study aimed to examine the driving actions of at-fault older drivers, and investigate the interrelations between the unobservable factors. To reach the goal, a Bayesian bivariate ...

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 ...

I Departamento de Engenharia de Alimentos, Centro de Ciências Agrárias, Universidade Federal do Espírito Santo - UFES, CP 16, CEP 29500-000, Alegre, ES, Brasil, e-mail: smdlucia@yahoo.com.br II ...