In this article, we provide a random utility-based derivation of the Dirichlet-multinomial regression and propose it as a convenient alternative for dealing with overdispersed multinomial data. We ...
Logan (1996a) introduced a new micro-behavioral model of employment opportunity and choice, and a multivariate statistical method based on the micro-behavioral model. This article considers the ...
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 ...
"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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback