Double bootstrap estimation of variance under systematic sampling with probability proportional to size

DOI10.1080/00949658908811124zbMath0726.62013OpenAlexW2106130937MaRDI QIDQ3350468

Anthony Y. C. Kuk

Publication date: 1989

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949658908811124

zbMATH Keywords

resamplingHorvitz-Thompson estimatorsuperpopulation modelsVariance estimationdouble bootstrap methodsystematic sampling with probability proportional to size

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Nonparametric statistical resampling methods (62G09)

Related Items (2)

A new resampling method for sampling designs without replacement: the doubled half bootstrap ⋮ Model-based variance estimation under unequal probability sampling

Cites Work

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• Asymptotic normality and the bootstrap in stratified sampling
• Bootstrap methods: another look at the jackknife
• Estimation of distribution functions and medians under sampling with unequal probabilities
• Prepivoting to reduce level error of confidence sets
• An Empirical Study of the Ratio Estimator and Estimators of its Variance
• Systematic Sampling with Unequal Probability and Without Replacement
• On the Theory of Systematic Sampling, II
• Introduction to variance estimation

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