Multiple sensitive estimation and optimal sample size allocation in the item sum technique

DOI10.1002/BIMJ.201700021zbMath1383.62284OpenAlexW2759522057WikidataQ47185004 ScholiaQ47185004MaRDI QIDQ3134242

Pier Francesco Perri, Beatriz Cobo Rodríguez, Maria del Mar Rueda García

Publication date: 9 February 2018

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10481/52231

zbMATH Keywords

Horvitz-Thompson estimatorcomplex samplingindirect questioning methodssensitive research

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)

Related Items (3)

Calibration estimators for quantitative sensitive mean estimation under successive sampling ⋮ Efficient item count techniques with one or two lists ⋮ Application of item sum technique for estimating quantitative sensitive mean on successive moves using auxiliary information

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