Peiming Wang, Martin L. Puterman, Mixed Logistic Regression Models, Journal of Agricultural, Biological, and Environmental Statistics, Vol. 3, No. 2 (Jun., 1998), pp ...

Parametric empirical Bayes methods are discussed for estimating the mean proportion response from generalized linear regression models (GLiM's) based on the binomial distribution, including the ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Regression using step and logistic models yields thresholds of 185 cm (solid vertical blue line) and 194 cm (dashed blue line), respectively.