Timeline for How to determine how many simulations to run, in order to illustrate "extreme-valued statistics"?
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| Jul 7, 2015 at 2:29 | comment | added | EngrStudent | It sounds like you want to use re-sampling to put error-bars around your quantiles. Error in the mean is textbook, but error in the 95th percentile is ... slightly less so. You want to make sure your sample size is sufficient to reduce your 95% CI on the estimates, to reduce your error bars to reasonable levels. The requirement there is that you know something about the nature of the generating distribution. Can you tell a little more about the nature of the distribution - enough to make an informative "toy" problem to show example solution? | |
| Apr 1, 2015 at 23:40 | comment | added | rolando2 | Welcome. Your criteria would need to be more specific than to have "confidence in the conclusions" and to obtain a histogram that is a "sufficiently detailed." (What constitutes "confidence" or "sufficient" for you, or for your audience?) I also think to get a helpful answer you would need to share more info about your simulation and a plot of your distribution so far. | |
| Apr 1, 2015 at 14:51 | review | First posts | |||
| Apr 1, 2015 at 14:54 | |||||
| Apr 1, 2015 at 14:47 | history | asked | StatsLeaner1 | CC BY-SA 3.0 |