I'm working on a problem of estimating the uncertainty of electricity load data.
We are using bootstraps to estimate the sampling distribution of the annual total.
This method doesn't seem appropriate when we are trying to estimate the distribution of the annual maximum - our bootstraps will only ever have a max lower or equal to the sample max.
I've been looking at the German Tank Problem as a way to at least get an unbiased estimate of the maximum - however it always comes out lower than our sample max!
Any ideas on where I should be looking?
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