Timeline for General Linear Model vs. Generalized Linear Model (with an identity link function?)
Current License: CC BY-SA 2.5
6 events
| when toggle format | what | by | license | comment | |
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| Feb 18, 2011 at 10:23 | history | edited | onestop | CC BY-SA 2.5 |
fix markup
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| Feb 15, 2011 at 22:11 | history | edited | onestop | CC BY-SA 2.5 |
attempting to make phrasing clearer, but it's getting too late.. I may revise further in the morning if no-one else has first
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| Feb 15, 2011 at 21:57 | history | edited | onestop | CC BY-SA 2.5 |
extend a little
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| Feb 15, 2011 at 21:40 | vote | accept | Behacad | ||
| Feb 15, 2011 at 21:31 | comment | added | Behacad | Thank you for your reply! I am glad to hear your answer, as that was my original assumption. I was told otherwise by a professor at my institution, so I really had to go digging. I am using SPSS and I now see that the parameter estimates are indeed identical (e.g., B values). I see now that what had confused me originally were the different p values. The ANCOVA statistic is based on a standard F test, while the GZLM is based on the Wald Chi-Square, correct? I have read that the Wald Chi-Square is used when you use parameters of the sample (such as in the GZLM). | |
| Feb 15, 2011 at 20:10 | history | answered | onestop | CC BY-SA 2.5 |