A note on the bias and consistency of the jackknife variance estimator in stratified samples
DOI10.1080/02664760310001619323zbMath1032.62008OpenAlexW2036896192MaRDI QIDQ4451267
Publication date: 23 February 2004
Published in: Unnamed Author (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664760310001619323
consistencynormal approximationorthogonal decompositionEfron-Stein inequalityjackknife variance estimationstratified sample without replacementHoeffding decomposiitonnonlinear finite population statistics
Asymptotic distribution theory in statistics (62E20) Central limit and other weak theorems (60F05) Sampling theory, sample surveys (62D05)
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Cites Work
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- Normal approximation for finite-population U-statistics
- Asymptotic normality and the bootstrap in stratified sampling
- Jackknife approximations to bootstrap estimates
- On the Edgeworth expansion and the bootstrap approximation for a Studentized U-statistic
- The jackknife estimate of variance
- \(L\)-statistics in complex survey problems
- An Edgeworth expansion for symmetric statistics
- Empirical Edgeworth expansions for symmetric statistics
- Orthogonal decomposition of finite population statistics and its applications to distributional asymptotics
- Empirical Edgeworth expansion for finite population statistics. I
- A Berry-Esseen bound for symmetric statistics
- The Large-Sample Power of Rank Order Tests in the Two-Sample Problem
- Resampling Inference With Complex Survey Data
- Jackknifing u-stastics ik finite populations
- Orthogonal Decomposition of Symmetric Functions Defined on Random Permutations
- Invited Discussion Paper Resampling Methods in Sample Surveys
- Robust Estimation in Analysis of Variance
- A Class of Statistics with Asymptotically Normal Distribution
- Consistency and Unbiasedness of Certain Nonparametric Tests
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