Sensitive proportion in ranked set sampling.

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...

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Autores principales:	Azhar Mehmood Abbasi, Muhammad Yousaf Shad
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/16871acfb315442db5b7f89694e7764b
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spelling	oai:doaj.org-article:16871acfb315442db5b7f89694e7764b2021-12-02T20:14:51ZSensitive proportion in ranked set sampling.1932-620310.1371/journal.pone.0256699https://doaj.org/article/16871acfb315442db5b7f89694e7764b2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256699https://doaj.org/toc/1932-6203This 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.Azhar Mehmood AbbasiMuhammad Yousaf ShadPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0256699 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Azhar Mehmood Abbasi Muhammad Yousaf Shad Sensitive proportion in ranked set sampling.
description	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.
format	article
author	Azhar Mehmood Abbasi Muhammad Yousaf Shad
author_facet	Azhar Mehmood Abbasi Muhammad Yousaf Shad
author_sort	Azhar Mehmood Abbasi
title	Sensitive proportion in ranked set sampling.
title_short	Sensitive proportion in ranked set sampling.
title_full	Sensitive proportion in ranked set sampling.
title_fullStr	Sensitive proportion in ranked set sampling.
title_full_unstemmed	Sensitive proportion in ranked set sampling.
title_sort	sensitive proportion in ranked set sampling.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/16871acfb315442db5b7f89694e7764b
work_keys_str_mv	AT azharmehmoodabbasi sensitiveproportioninrankedsetsampling AT muhammadyousafshad sensitiveproportioninrankedsetsampling
_version_	1718374629388582912

Sensitive proportion in ranked set sampling.

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