This is a preview. Log in through your library . Abstract We develop a small-sample criterion (AIC C) for selecting multivariate regression models. This criterion adjusts the Akaike information ...

The linear multiple regression model is analyzed assuming the error vector has a multivariate Student-t distribution with zero location vector and scalar dispersion ...

Topics covered will include the assumptions of simple and multiple linear regression, interpretation of the model, and model selection. Graphical methods useful for understanding relationships and ...

Course Topics"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 ...