In many problems involving generalized linear models, the covariates are subject to measurement error. When the number of covariates p exceeds the sample size n ...

Power series generalized nonlinear models [Comput. Statist. Data Anal. 53 (2009) 1155–1166] can be used when the Poisson assumption of equidispersion is not valid. In these models, we consider a more ...

is the constant scale parameter specified in the method dialog or a value of 1.0 for maximum-likelihood estimation for Poisson or binomial distributions.

You construct a generalized linear model by deciding on response and explanatory variables for your data and choosing an appropriate link function and response probability distribution. Some examples ...

Keywords: Statistical analyses. Regression models. Post-earthquake ignitions. Data analyses. California. Ground shaking. Generalized linear mixed models. Goodness-of-fit analyses. Census tracts. Fire ...