The LOGISTIC procedure in SAS/STAT software fits linear logistic regression models for binary or ordinal response data by the method of maximum likelihood. Subsets of explanatory variables can be ...

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 ...

Vol. 27, No. 3, Contributions to the 7th Conference on Multivariate Distributions with Applications and 1st Conference on Applied Probability and Statistical Methods (August 2013), pp. 265-284 (20 ...

"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 ...

Tourism seasonality is a complex phenomenon ranked as one of the most important and timeless issues for regional and tourism development. This paper builds on binary logistic regression to examine the ...

In recent columns we showed how linear regression can be used to predict a continuous dependent variable given other independent variables 1,2. When the dependent variable is categorical, a common ...