Estimation in complex sampling designs based on resampling methods

DOI10.1007/s13253-020-00390-7OpenAlexW3012218787MaRDI QIDQ2209859

Bardia Panahbehagh

Publication date: 5 November 2020

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-020-00390-7

zbMATH Keywords

adaptive designsunbiased estimatorscomplex designsMonte Carlo resampling methodsMurthy estimator

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

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• Model assisted survey sampling
• Adaptive Cluster Sampling
• Representative Sampling, III: The Current Statistical Literature
• Two-Stage Adaptive Cluster Sampling
• Theory & Methods: A New Proof of Murthy's Estimator which Applies to Sequential Sampling
• Gap-based inverse sampling
• Applying the Horvitz-Thompson criterion in complex designs: A computer-intensive perspective for estimating inclusion probabilities
• A Generalization of Sampling Without Replacement From a Finite Universe

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