Generalized exponential type estimator for the mean of sensitive variable in the presence of non-sensitive auxiliary variable

Zara Waseem, Hina Khan and Javid Shabbir

Communications in Statistics - Theory and Methods, 2021, vol. 50, issue 14, 3477-3488

Abstract: We proposed a generalized two stage optional randomized response model by single sample approach and developed a generalized exponential type estimator for the mean of sensitive variable using information from a non-sensitive auxiliary variable. Privacy protection and some special cases for the suggested model has also been discussed. Simulation and numerical study are carried out to assess the performance of the suggested estimator. We compare the proposed model with some existing estimators and conclude that our proposed model is more efficient under certain conditions.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2019.1708399 (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:lstaxx:v:50:y:2021:i:14:p:3477-3488

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2019.1708399

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().