Timeline for GLMs must be 'linear in the parameters'
Current License: CC BY-SA 3.0
16 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 19, 2016 at 12:47 | history | edited | Ben S | CC BY-SA 3.0 | deleted 7 characters in body |
| Mar 19, 2016 at 11:18 | vote | accept | Ben S | ||
| Mar 18, 2016 at 18:04 | comment | added | Repmat | @Nickcox exactly what I meant. But I suppose that $\beta_1$ would not be identified. I see the comment is unclear | |
| Mar 18, 2016 at 17:57 | comment | added | Glen_b | @Repmat What are you taking the log of, exactly? I don't see how that works. | |
| Mar 18, 2016 at 13:33 | comment | added | Nick Cox | OK, so you are reparameterising. That's not transformation (of variables), which was what I was inferring. | |
| Mar 18, 2016 at 13:31 | comment | added | Repmat | Removing the product and the exp | |
| Mar 18, 2016 at 13:29 | comment | added | Nick Cox | I don't see that anything, linear or nonlinear, will make $\beta_1, \beta_2$ separately estimable here. More positively, watch that GLM in different contexts means general linear models and generalized linear models, which overlap but are by no means identical classes. | |
| Mar 18, 2016 at 13:28 | comment | added | Nick Cox | @Repmat How so? How will log transformation help here? | |
| Mar 18, 2016 at 12:48 | answer | added | Scortchi♦ | timeline score: 6 | |
| Mar 18, 2016 at 11:14 | history | tweeted | twitter.com/StackStats/status/710786423536930817 | ||
| Mar 18, 2016 at 8:42 | comment | added | Repmat | While you Are correct the function is not linear in the parameters, it can be made so with a log transformation | |
| Mar 18, 2016 at 7:23 | answer | added | Shijia Bian | timeline score: 0 | |
| Mar 18, 2016 at 6:37 | history | edited | Ben S | CC BY-SA 3.0 | added 4 characters in body |
| Mar 18, 2016 at 6:25 | answer | added | probabilityislogic | timeline score: 6 | |
| Mar 18, 2016 at 5:34 | review | First posts | |||
| Mar 18, 2016 at 6:16 | |||||
| Mar 18, 2016 at 5:29 | history | asked | Ben S | CC BY-SA 3.0 |