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Maximum likelihood estimation of sensitive proportion using repeated randomized response techniques.

Authors :
Alavi, Sayed Mohammad Reza
Tajodini, Mahboobeh
Source :
Journal of Applied Statistics. Mar2016, Vol. 43 Issue 3, p563-571. 9p. 3 Charts.
Publication Year :
2016

Abstract

Randomized response techniques are designed to obtain usable data on sensitive issues while protecting the privacy of individuals. In this paper, based on repeating the randomized response technique, a new technique called repeated randomized response is introduced to increase the protection of privacy and efficiency of estimator for proportion of sensitive attribute. By using this technique, the proportion of academic cheating is estimated among students of Shahid Chamran University of Ahvaz, Ahvaz, Iran. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
02664763
Volume :
43
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Applied Statistics
Publication Type :
Academic Journal
Accession number :
112194227
Full Text :
https://doi.org/10.1080/02664763.2015.1070811