This is a preview. Log in through your library . Abstract This paper presents methods for computing aggregate change in probabilities of a binary dependent variable from changes in distributions of ...

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 ...

This is a preview. Log in through your library . Abstract An extended framework for viewing regression problems involving continuous, count or categorical dependent variables is briefly presented, and ...

"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count data. The most ...

Factors that contribute to the growth status of informal enterprises in India are explored using data on the unincorporated non-agricultural enterprises from the National Sample Survey Office. A ...