Studies on a general estimator in sampling, utilizing extraneous information through a sample weight function

DOI10.1016/0378-3758(92)90030-VzbMath0755.62021OpenAlexW2085005671WikidataQ127391507 ScholiaQ127391507MaRDI QIDQ1194017

Zhao Ouyang, Jagdish N. Srivastava

Publication date: 27 September 1992

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0378-3758(92)90030-v

zbMATH Keywords

orderinginequalitiesnumerical exampleiterative procedureinvariancefinite populationzero varianceapproximate proceduresextraneous informationguess estimatessample weight functionunbiased linear homogeneous estimatorsweighted p.p.s. samplingYates-Grundy form

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Admissibility in statistical decision theory (62C15)

Related Items (3)

Finding optimal estimators in survey sampling using unbiased estimators of zero ⋮ On controlled sampling designs ⋮ A general ratio estimator and its application in model based inference

Cites Work

• Sampling with unequal probabilities
• On Sampford's Procedure of Unequal Probability Sampling Without Replacement
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