(n = 357), a binary logistic regression model is used to identify rural return motives. Noneconomic and economic motives …

Moroccan bank. The main results of the different optimal models are obtained by the stepwise method of estimating logistic … regression. These results show, in a normal economic context, that the variables that discriminate between healthy and failing …

the properties of the logistic regression of the N ×M array of "i-buys-j" purchase decisions, [Yij ] 1ÈiÈN,1ÈjÈM, onto … term is asymptotically negligible. Asymptotic normality of the logistic regression coefficients is shown using a martingale …, it specializes to recently derived results on the behavior of logistic regression with rare events and iid data. Sparse …

probability of default through binary logistic regression model and determining optimum parameters that minimize the objective …The purpose of this study is to assess model risk with respect to parameter estimation for a simple binary logistic … regression model applied as a predictive model. The assessment is done by comparing the effectiveness of eleven different …

in Mpumalanga. Findings Cluster analysis produced two benefit segments. Binary logistic regression benefits that emerged … in which they participated during their stays in Mpumalanga. Factor-cluster analysis and binary logistic regression …