An approximately minimum variance jackknife

An approximately minimum variance jackknife

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Article ID: iaor1992750
Country: United Kingdom
Volume: 17
Issue: 4
Start Page Number: 321
End Page Number: 332
Publication Date: Jun 1991
Journal: Engineering Optimization
Authors:
Abstract:

Jackknifing is a nonparametric method of reducing bias in estimation procedures. The reduced-bias jackknife estimate is not, in general, a minimum variance (MV) estimate. The generalized jackknife is extended to allow the computation of jackknife estimates that are reduced in variance as compared with the usual jackknife estimate. The extended method is applicable in situations where there is information available on the covariance function of the given data set. This improved estimation procedure will then produce an approximately MV, reduced-bias estimated for any nonlinear function of the data. For linear combinations of the data, it is shown that the estimator reduces, as a special case, to an exactly MV, unbiased estimator.

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