A Jackknife Variance Estimator for Unequal Probability Sampling

DOI10.1111/j.1467-9868.2005.00489.xzbMath1060.62008OpenAlexW2042873616WikidataQ60962275 ScholiaQ60962275MaRDI QIDQ4673567

Yves G. Berger, C. J. Skinner

Publication date: 6 May 2005

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9868.2005.00489.x

zbMATH Keywords

stratificationlinearizationinclusion probabilitiespseudovaluessmooth function of means

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Bootstrap, jackknife and other resampling methods (62F40) Monte Carlo methods (65C05)

Related Items (13)

Variance estimation procedures in the presence of singly imputed survey data: a critical review ⋮ Bias-adjustment and calibration of jackknife variance estimator in the presence of non-response ⋮ Simplified Jackknife Variance Estimates for Fuzzy Measures of Multidimensional Poverty ⋮ Linearisation for Variance Estimation by Means of Sampling Indicators: Application to Non‐response ⋮ Resampling methods for estimating variance in surveys ⋮ A survey of bootstrap methods in finite population sampling ⋮ Unnamed Item ⋮ Properties of design-based functional principal components analysis ⋮ Adjusted Jackknife for Imputation under Unequal Probability Sampling Without Replacement ⋮ Use of free software to estimate sensitive behaviours from complex surveys ⋮ A new replicate variance estimator for unequal probability sampling without replacement ⋮ Doubly robust point and variance estimation in the presence of imputed survey data ⋮ Design-based treatment of unit nonresponse in environmental surveys using calibration weighting

Cites Work

• Rate of convergence for asymptotic variance of the Horvitz-Thompson estimator
• Introduction to variance estimation
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