Invited Discussion Paper Resampling Methods in Sample Surveys
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Publication:4878153
DOI10.1080/02331889708802523zbMath0842.62002OpenAlexW2035087788MaRDI QIDQ4878153
Publication date: 4 August 1996
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331889708802523
bootstrapresampling methodsjackknifevariance estimationdistribution estimationsample quantilesbalanced repeated replicationstratified multistage sampling designfunctions of weighted averagesimputed missing values
Related Items (3)
A diagnostic tool for regression analysis of complex survey data ⋮ A modified bootstrap procedure for cluster sampling variance estimation of species richness ⋮ A note on the bias and consistency of the jackknife variance estimator in stratified samples
Cites Work
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- Asymptotic properties of the balanced repeated replication method for sample quantiles
- On the stability of some replication variance estimators in the linear case
- Bootstrap methods: another look at the jackknife
- \(L\)-statistics in complex survey problems
- A general theory for jackknife variance estimation
- Mixed orthogonal arrays for variance estimation with unequal numbers of primary selections per stratum
- Bootstrap and other methods to measure errors in survey estimates
- Comparing three bootstrap methods for survey data
- Jackknife variance estimation with survey data under hot deck imputation
- Edgeworth expansion and the bootstrap for stratified sampling without replacement from a finite population
- Bootstrap for Imputed Survey Data
- Balanced repeated replications based on orthogonal multi-arrays
- Pseudo-Replication: Half Samples
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