Estimation of a rare sensitive attribute in two-stage sampling using a randomized response model under Poisson distribution

Garib N. Singh, Surbhi Suman and Chandraketu Singh

Mathematical Population Studies, 2020, vol. 27, issue 2, 81-114

Abstract: Unbiased estimation procedures of the mean total number of persons with a rare sensitive attribute apply for a clustered population under two-stage and stratified two-stage sampling schemes. Randomized response model is used to obtain the estimators, when the parameter of an unrelated rare non-sensitive attribute is either known or unknown. The variances of the resultant estimators are derived and their unbiased estimates are expressed. Numerical comparisons show that dispersions in the estimates are lower than other contemporary estimators.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/08898480.2018.1553404 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:mpopst:v:27:y:2020:i:2:p:81-114

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/GMPS20

DOI: 10.1080/08898480.2018.1553404

Access Statistics for this article

Mathematical Population Studies is currently edited by Prof. Noel Bonneuil, Annick Lesne, Tomasz Zadlo, Malay Ghosh and Ezio Venturino

More articles in Mathematical Population Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().