A generalized linear model specifying an identity link function and a normal family distribution is exactly equivalent to a (general) linear model. If you're getting noticeably different results from …

May 15, 2013 · How are regression, the t-test, and the ANOVA all versions of the general linear model? Ask Question Asked 12 years, 6 months ago Modified 1 year, 9 months ago

Sep 6, 2016 · I also attempted to add the general-linear-model tag but it remaps to multiple-regression (this is unfortunate, to my mind because the general linear model is more general …

Jul 7, 2017 · The normal linear model is a special case of GLM, while OLS is a distribution free algorithm to find its solution. The classic t-test is a special case of the normal linear model.

For instance, in SPSS the drop down menu allows users to fit either: analyze-> generalized linear models-> generalized linear models & analyze-> mixed models-> generalized linear Do they …

Dec 5, 2018 · I realize this may be a potentially broad question, but I was wondering whether there are assumptions that indicate the use of a GAM (Generalized additive model) over a …

Jan 31, 2020 · to add to that^, you can run general F-test's comparing a reduced model to full model. For instance, you could test the null that only sex is important in modeling the …

May 9, 2016 · How does OLS regression relate to generalised linear modelling Ask Question Asked 9 years, 7 months ago Modified 9 years, 2 months ago

Nov 18, 2015 · What is the difference between generalized linear mixed models, and linear mixed effect models (lmer function in package lme4) in terms of distributions of the response …

I have made a generalised linear model with a single response variable (continuous/normally distributed) and 4 explanatory variables (3 of which are factors and the fourth is an integer). I …