Timeline for Bootstrapping with repeated measurements
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
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| Aug 3, 2021 at 13:35 | comment | added | whuber♦ | In another comment you write that the dataset is "not large." This ought to lead you away from bootstrapping, whose theoretical legitimacy holds only for large datasets (that is, asymptotically). Instead, use an appropriate model. A simple and likely effective one is to suppose independent, homoscedastic measurement errors, permitting direct application of standard (ordinary least squares) modeling. | |
| Jun 11, 2019 at 17:51 | vote | accept | Dani | ||
| Jun 11, 2019 at 10:08 | answer | added | jkpate | timeline score: 2 | |
| Jun 11, 2019 at 8:46 | history | edited | Dani | CC BY-SA 4.0 |
added 189 characters in body
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| Jun 11, 2019 at 8:14 | answer | added | zd_ | timeline score: -1 | |
| Jun 11, 2019 at 8:05 | review | First posts | |||
| Jun 11, 2019 at 11:54 | |||||
| Jun 11, 2019 at 8:00 | history | asked | Dani | CC BY-SA 4.0 |