The LOGLIN statement is used to define log-linear model effects. It can be used whenever the default response functions (generalized logits) are used. In the LOGLIN statement, effects are design ...

An introduction to the theory and application of generalized linear models for the analysis of continuous, categorical, count and survival data. Topics include: normal regression, analysis of variance ...

In generalized linear models, the response is assumed to possess a probability distribution of the exponential form. That is, the probability density of the response Y for continuous response ...

linear regression, logistic regression for binary data, models for ordered and unordered (nominal) responses, log-linear models for count data and contingency tables, and models for survival (duration ...