Timeline for When to use gamma GLMs?
Current License: CC BY-SA 3.0
6 events
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| Oct 10, 2017 at 8:41 | comment | added | Nick Cox | @tatami That's an entire new question, or more, I think. If you ask it, you'll see who bites. I've not ever thought that a gamma model and a negative binomial model were rivals in any project, but that could be failure of imagination or experience. | |
| Oct 10, 2017 at 8:20 | comment | added | tatami | @NickCox What should we look out for when analysis observed vs fitted, residuals vs fitted and normal qq plot? I understand this might differ between models. Could you give an example for gamma, poisson and negative binomial? Thanks | |
| Aug 19, 2013 at 7:35 | comment | added | Nick Cox | I look at likelihoods, R-squares (despite what people say), confidence intervals around parameter estimates, plots of observed vs fitted, residual vs fitted, etc. If there were science favouring one model over another, that would weigh too, but in my experience the science is not so well formed. How else could it be done? | |
| Aug 19, 2013 at 0:56 | comment | added | dimitriy | How do you determine which works better? | |
| Aug 17, 2013 at 9:56 | history | edited | Nick Cox | CC BY-SA 3.0 |
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| Aug 16, 2013 at 8:35 | history | answered | Nick Cox | CC BY-SA 3.0 |