CU Boulder News & Events

Generalized Linear Models and Categorical Data Analysis in R

Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete ...
CU Boulder News & Events

Generalized Linear Models

Many response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, modeling the state damaged/not damaged of cells after treated with ...
Business Wire

Research and Markets: Deterministic Operations Research: Models and Methods in Linear Optimization Is an Excellent Book for Operations Research of Linear Optimization Courses

DUBLIN--(BUSINESS WIRE)--Research and Markets(http://www.researchandmarkets.com/research/799091/deterministic_oper) has announced the addition of John Wiley and Sons ...
JSTOR Daily

Bayesian Covariance Selection in Generalized Linear Mixed Models

This is a preview. Log in through your library . Abstract The generalized linear mixed model (GLMM), which extends the generalized linear model (GLM) to incorporate random effects characterizing ...