Timeline for Understanding two tailed t test confidence intervals
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 5, 2017 at 18:02 | comment | added | Hector | Could you recommend a resource on how to perform the Bayesian credible interval that you mention? | |
| Oct 3, 2017 at 12:16 | comment | added | Frank Harrell | And point is that we need to get away from them when we can. | |
| Oct 1, 2017 at 13:55 | comment | added | David Ernst | My point was that the title mentions confidence intervals specifically. | |
| Oct 1, 2017 at 13:27 | comment | added | Frank Harrell | I was referring to posterior probabilities for specific assertions. If you want an uncertainty interval that would be the credible interval, which unlike a confidence interval has a definition that makes sense. It is the interval that we are e.g. 0.95 certain the true unknown parameter lies. Frequentist confidence interval is virtually uninterpretable. | |
| Oct 1, 2017 at 13:20 | comment | added | David Ernst | They wouldn't be called confidence intervals in a Bayesian frameworks though, would they? | |
| Oct 1, 2017 at 12:36 | comment | added | Frank Harrell | Not so sure about one-tailed tests being almost never used. They make sense in many cases. And when using Bayesian inferences, probability statements are almost all directional. | |
| Oct 1, 2017 at 9:44 | history | answered | David Ernst | CC BY-SA 3.0 |