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A statistical technique in which, given a data set with n observations, the analysis is recalculated n times omitting each observation in turn (removed with a “jackknife”). The mean and variance of the estimated parameters in the model may be compared with those obtained from the full set. The method is related to statistical bootstrap estimation.

Subjects: Probability and Statistics.

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