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Apr 25 at 15:59 history edited Richard Hardy CC BY-SA 4.0
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Sep 19, 2022 at 22:03 vote accept Dave
Jul 16, 2022 at 15:00 history tweeted twitter.com/StackStats/status/1548321564596154373
Jul 15, 2022 at 16:11 history edited Dave CC BY-SA 4.0
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Jul 15, 2022 at 14:57 history edited kjetil b halvorsen CC BY-SA 4.0
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Feb 13, 2020 at 16:14 comment added Dave "As $n \rightarrow \infty$, the [Wald, likelihood ratio, and Score] tests have certain asymptotic equivalences. For the best-known GLM, the normal linear model, the three types of inference provide identical results." My impression, evidently wrong, was that the three converged as $n \rightarrow \infty$ but differed for finite $n$...except for the normal linear model, where they gave the same results. I think this warrants a new question, but if even the normal linear model only has asymptotic equivalence, what equivalence does the normal linear have that GLM in general lacks?
Feb 13, 2020 at 16:09 comment added AdamO That's absolutely untrue. They are asymptotically equivalent, so unless $n=\infty$, they will differ a little bit. Small $n$? They can differ a LOT.
Feb 13, 2020 at 15:53 answer added Christoph Hanck timeline score: 6
Feb 13, 2020 at 14:41 history asked Dave CC BY-SA 4.0