Timeline for Evidence in favor of the Null / Zero for Regression in R
Current License: CC BY-SA 4.0
3 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Sep 19, 2018 at 17:27 | comment | added | Sextus Empiricus | @williamstome that is just one argument. There are so many other considerations. The suitability of a Bayesian approach depends a lot on whether one has suitable prior information and whether one is looking for an update or not. Besides that, the en.wikipedia.org/wiki/Equivalence_test is quantative (albeit just a bit more liberal/simplistic in prior assumptions and uses only a single cut-off level, equivalence bound, instead of an entire prior believe about the distribution of effects), and is very usefull in many situations. | |
| Sep 19, 2018 at 16:57 | comment | added | williamstome | The Bayesian approach is preferable since, unlike the frequentest approach, Bayesian statistics can be used to quantify evidence in favor of the null hypothesis. | |
| Aug 25, 2018 at 11:45 | history | answered | Peter Flom | CC BY-SA 4.0 |