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Results tagged with generalized-linear-model
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user 190247
A generalization of linear regression allowing for nonlinear relationships via a "link function" and for the variance of the response to depend on the predicted value. (Not to be confused with "general linear model" which extends the ordinary linear model to general covariance structure and multivariate response.)
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When using a gaussian link in GLM, what are the assumptions?
In R, when I am fitting a model glm(y~x, family = gaussian(link="log")), do I assume that $Y \stackrel{iid}\sim N(\mu, \sigma^2)$ or do I assume that $Y \stackrel{indep}\sim N(\mu, \sigma^2)$?
I gues …
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