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 ...

Generally speaking, there are two types of outcomes (i.e. response) in statistical analysis: continuous and categorical responses. Linear Models (LM) are one of the most commonly used statistical ...

We consider the problem of experimental design when the response is modeled by a generalized linear model (GLM) and the experimental plan can be determined sequentially. Most previous research on this ...

Journal of Vegetation Science, Vol. 14, No. 5 (Oct., 2003), pp. 669-680 (12 pages) Statistical models of the realized niche of species are increasingly used, but systematic comparisons of alternative ...

The GLM procedure is the flagship tool for analysis of variance in SAS/STAT software. It performs analysis of variance by using least squares regression to fit general linear models, as described in ...

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