Bootstrap Estimators of Variance Under Sampling with Probability Proportional to Aggregate Size

DOI10.1080/00949658708811039zbMath0726.62014OpenAlexW1982253186MaRDI QIDQ3350469

Anthony Y. C. Kuk

Publication date: 1987

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

Full work available at URL: https://doi.org/10.1080/00949658708811039

zbMATH Keywords

bootstrapratio estimatornonnegative variance estimatorssampling with probability proportional to aggregate sizeUnbiased variance estimators

Mathematics Subject Classification ID

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

Cites Work

• Asymptotic normality and the bootstrap in stratified sampling
• Bootstrap methods: another look at the jackknife
• On the efficiency of Midzuno and Sen's strategy relative to several ratio-type estimators under a particular model
• An Empirical Study of the Ratio Estimator and Estimators of its Variance
• On Estimating the Variance in Sampling with Probability Proportional to Aggregate Size

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