Purpose: The objective of this research was to analyze the willingness to implement reverse logistics in supermarket retail. Methodology: Data were collected on the practice of reverse logistics from 18 supermarkets and ...

The purpose of this article is to present a new method to predict the response variable of an observation in a new cluster for a multilevel logistic regression. The central idea is based on the empirical best estimator for ...

Growth functions with inflection points following a diphasic model, can be adjusted by two approaches using segmented regression or the sum of two functions. In both cases, there are two functions, one for each phase, with ...

Statistical methods have been widely employed to assess the capabilities of credit scoring classification models in order to reduce the risk of wrong decisions when granting credit facilities to clients. The predictive ...

This study shows how simple and multiple logistic regression can be used in observational methodology and more specifically, in the fields of physical activity and sport. We demonstrate this in a study designed to determine ...

This work presents the basical theorics fundaments of the generalized linear models e the caracteristiscs of the univariate multinomial and binomial logistic regression analysis. Practical aplications of binomial regression ...

Basing on existence of the mathematically sequential reduction of the three-compartmental (SusceptibleInfected-Recovered/Removed) model to the Verhulst (logistic) equation with the parameters determined by the basic ...

The development of statistical methods for predicting the financial crisis of a company is a real contribution to scientific research. These methods identify possible adverse financial situations of the companies, through ...