Timeline for Is bootstrapping the right method for extreme distributions?
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| Dec 20, 2013 at 16:11 | comment | added | dmartin | To avoid problems of practical significance and statistical significance, you could use an effect size metric. I would recommend something like the common language effect size (CLES). This is rank based and can be interpreted as the probability of a random individual in group A being larger than a random individual in group B. | |
| Dec 20, 2013 at 13:47 | history | answered | Horst Grünbusch | CC BY-SA 3.0 |