Timeline for Using AICc distributions to assess goodness-of-fit and model selection
Current License: CC BY-SA 3.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 28, 2016 at 23:13 | comment | added | user36196 | I've got 200 GPR bootstrap series per dataset (with 300 more generated, ready to fit if this proves not powerful enough), and the models have only 2,3 or 4 parameters, so the ratio is at least 50 series per parameter. | |
| Mar 26, 2016 at 23:10 | comment | added | EngrStudent | For real world fits, I prefer to have at least 5 samples per parameter. I love having a few hundred, but when things start getting sparse, I consider that a line into danger. You have very few samples. I hope your equations have few parameters. | |
| Mar 26, 2016 at 22:56 | vote | accept | user36196 | ||
| Mar 26, 2016 at 22:55 | history | answered | user36196 | CC BY-SA 3.0 |