Category:Jack-Knife Resampling
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This category contains results about Jack-Knife Resampling.
Definitions specific to this category can be found in Definitions/Jack-Knife Resampling.
Jack-knife resampling is a statistical technique mainly used for estimation of bias in a sample estimator of a population parameter.
It involves computation of the sample estimator with the omission of one observation at a time over the entire set of observations.
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This category has only the following subcategory.