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Resampling is taking a sample from a sample. Common uses are jackknifing (taking a subsample, eg all values but 1) & bootstrapping (sampling w/ replacement). These techniques can provide a robust estimate of a sampling distribution when it would be difficult or impossible to derive analytically.

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Bootstrap sampling to get monthly statistic from daily data

I have daily (iid) data for historic winter seasons: $d:$ (price, value, temperature, etc). The "value" is actually a concave up function of "price" and the other covariates. I'm interested in seeing …
Sameer L's user avatar