1977TechnometricsRequires access

Jackknifing in Unbalanced Situations

D. V. Hinkley

Open publisher page 215 citations

Abstract

Both the standard jackknife and a weighted jackknife are investigated in the general linear model situation. Properties of bias reduction and standard error estimation are derived. and the weighted jackknife shown to be superior for unbalanced data. There is a preliminary discussion of robust regression fitting using jackknife pseudo-values.

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What this paper is about

Both the standard jackknife and a weighted jackknife are investigated in the general linear model situation. Properties of bias reduction and standard error estimation are derived. and the weighted jackknife shown to be superior for unbalanced data. There is a preliminary discussion of robust regression fitting using jackknife pseudo-values.

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OpenAlex reports 215 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Both the standard jackknife and a weighted jackknife are investigated in the general linear model situation. Properties of bias reduction and standard error estimation are derived. and the weighted jackknife shown to be superior for unbalanced data. There is a preliminary discussion of robust regression fitting using jackknife pseudo-values.

Key concepts: Jackknife resampling, Statistics, Standard error, Mathematics, Econometrics, Standard deviation, Regression, Estimator

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