
Generalized Linear Models - IBM
A shipping company can use generalized linear models to fit a Poisson regression to damage counts for several types of ships constructed in different time periods, and the resulting model …
GLM Multivariate Analysis - IBM
Using this general linear model procedure, you can test null hypotheses about the effects of factor variables on the means of various groupings of a joint distribution of dependent variables.
GLM Univariate Analysis - IBM
Using this General Linear Model procedure, you can test null hypotheses about the effects of other variables on the means of various groupings of a single dependent variable. You can …
Generalized linear mixed models - IBM
Medical researchers can use a generalized linear mixed model to determine whether a new anticonvulsant drug can reduce a patient's rate of epileptic seizures. Repeated measurements …
General Linear Model (GLM) and MANOVA (GLM command) - IBM
Saving of a datafile in IBM® SPSS® Statistics format with parameter estimates and their degrees of freedom and significance level.
GLM Repeated Measures - IBM
Using this general linear model procedure, you can test null hypotheses about the effects of both the between-subjects factors and the within-subjects factors. You can investigate interactions …
Generalized Linear Models Statistics - IBM
Model summary statistics. Displays model fit tests, including likelihood-ratio statistics for the model fit omnibus test and statistics for the Type I or III contrasts for each effect.
GLM Post Hoc Comparisons - IBM
GLM Multivariate and GLM Repeated Measures are available only if you have SPSS® Statistics Standard Edition or the Advanced Statistics Option installed. The Bonferroni and Tukey's …
Obtaining a generalized linear mixed model - IBM
This feature requires SPSS® Statistics Standard Edition or the Advanced Statistics Option.
IBM Documentation
Explore IBM's Generalized Linear Models documentation for SPSS Statistics, offering insights into model types, predictors, and response categorizations.