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Results tagged with resampling
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user 203863
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, Rubin's rules, and uncertainty of sub-estimates?
(This is a fairly long answer, there is a summary at the end)
The theoretical justifications given below, based mainly on this, this, this, this, and this articles, can help you get the intuition you …
- 585
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How to calculate p-value comparing bootstrap-based predicted probabilities and observed prob...
I posted this question on stackoverflow first but I have got no answer so far, so I decided to post it here in the hope that here I might get an answer. I hope my procedure is acceptable.
Essentiall …
- 585
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When to use ordinary, balanced, antithetic, or permutation resampling for bootstrap?
I am using boot and would appreciate any explanation as to when using each of these resampling methods would be recommended in practice. … I have come across Do who says that:
Simulation results reveal that balanced resampling provide better
efficiencies in most cases; however, antithetic resampling is superior
in estimating bias …
- 585