Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

Journal of Educational Measurement, Vol. 30, No. 2 (Summer, 1993), pp. 107-122 (16 pages) The purpose of this article is to present logistic discriminant function analysis as a means of differential ...

Logistic regression has found wide acceptance as a model for the dependence of a binary response variable on a vector of explanatory variables. It can also be used, however, as a maximization ...

The transformation of credit scores into probabilities of default plays an important role in credit risk estimation. The linear logistic regression has developed into a standard calibration approach ...

I’d like to present ideas on how analytics can be applied to carry out prediction of faults remotely for any vehicle. Techniques described in this article help the OEM/Service provider to send advance ...