Timeline for General Linear Model vs. Generalized Linear Model (with an identity link function?)
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
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| S Jun 28, 2020 at 15:49 | history | suggested | Stephen Rauch | CC BY-SA 4.0 |
Remove extra commentary
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| Jun 28, 2020 at 14:39 | review | Suggested edits | |||
| S Jun 28, 2020 at 15:49 | |||||
| Jul 29, 2013 at 3:02 | comment | added | gung - Reinstate Monica | @onestop's answer is good; I upvoted it long ago. To get a clearer sense of the connection between the general linear model & the generalized linear model, it may help you to read my answer here: difference-between-logit-and-probit-models (although it was written in a different context). Assuming your errors are normally distributed, but the error variance is not known a-priori, the $t$ & $F$ tests that software will return w/ an ANCOVA will be correct; the p-value from the Wald test will be too low, unless your N is very large. | |
| Jul 29, 2013 at 2:51 | history | edited | Behacad | CC BY-SA 3.0 |
deleted 8 characters in body; edited title
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| Feb 16, 2011 at 3:22 | answer | added | user3267 | timeline score: 5 | |
| Feb 15, 2011 at 21:40 | vote | accept | Behacad | ||
| Feb 15, 2011 at 21:40 | history | edited | Behacad | CC BY-SA 2.5 |
added 373 characters in body
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| Feb 15, 2011 at 20:22 | history | tweeted | twitter.com/#!/StackStats/status/37607731699515392 | ||
| Feb 15, 2011 at 20:10 | answer | added | onestop | timeline score: 24 | |
| Feb 15, 2011 at 19:28 | history | asked | Behacad | CC BY-SA 2.5 |