Sensitive proportion in ranked set sampling.
other · Level V
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- Record sourced from PubMed, PMID 34464414.
- Also identified by DOI 10.1371/journal.pone.0256699 and PMC identifier 8407548.
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Abstract
This paper considers the concomitant-based rank set sampling (CRSS) for estimation of the sensitive proportion. It is shown that CRSS procedure provides an unbiased estimator of the population sensitive proportion, and it is always more precise than corresponding sample sensitive proportion (Warner SL (1965)) that based on simple random sampling (SRS) without increasing sampling cost. Additionally, a new estimator based on ratio method is introduced using CRSS protocol, preserving the respondent's confidentiality through a randomizing device. The numerical results of these estimators are obtained by using numerical integration technique. An application to real data is also given to support the methods.
Medical subject headings
- Sampling Studies
- Statistics as Topic