Timeline for Estimating High Confidence Upper Bound for Quantile of Unknown Distribution
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 19 at 20:32 | comment | added | whuber♦ | In the common case where $\epsilon = 0.05\approx \exp(-3)$ and approximating $\log(1-\alpha)\approx\alpha,$ you have rediscovered the Rule of Three. There's no need to vary the distributions unless you're interested in exploring the effects of ties; the Probability Integral Transform for absolutely continuous variables permits you to assume the distribution is uniform. | |
| S Aug 19 at 19:58 | review | First answers | |||
| Aug 20 at 3:54 | |||||
| S Aug 19 at 19:58 | history | edited | PedanticPete | CC BY-SA 4.0 |
Added links to helpful questions for further research
|
| Aug 19 at 9:19 | vote | accept | PedanticPete | ||
| S Aug 19 at 9:18 | review | First answers | |||
| Aug 19 at 9:19 | |||||
| S Aug 19 at 9:18 | history | answered | PedanticPete | CC BY-SA 4.0 |