Timeline for Bootstrapping with quantiles of data instead of SD*z?
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 12, 2022 at 1:50 | comment | added | Glen_b | Davison and Hinkley's book Bootstrap Methods and their Application presents a number of approaches to bootstrapping (not exhaustive but both parametric and nonparametric cases are discussed) and it does discuss bootstrap prediction intervals and nonparametric regression models; this might be helpful as a reference, for all that the various pieces are not all in the same places, since the relevant concepts should carry across. | |
| May 11, 2022 at 15:40 | history | edited | RegressForward | CC BY-SA 4.0 |
Clarifying that I want to know about when quantiles are being used instead of the +/- method and why.
|
| May 11, 2022 at 15:35 | history | edited | RegressForward | CC BY-SA 4.0 |
Adding the hats! Don't want to forget those.
|
| May 11, 2022 at 15:18 | history | edited | RegressForward | CC BY-SA 4.0 |
edited body
|
| May 11, 2022 at 15:12 | answer | added | IrishStat | timeline score: 6 | |
| May 11, 2022 at 15:01 | history | asked | RegressForward | CC BY-SA 4.0 |