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Improved Randomized Response Technique for Two Sensitive Attributes
- Source :
- Afrika Statistika; Vol 10, No 2 (2015); 839-852, Afr. Stat. 10, no. 2 (2015), 839-853
- Publication Year :
- 2016
- Publisher :
- Presses Universitaires de Saint-Louis, 2016.
-
Abstract
- We proposed new and more ecient estimators for estimating population proportion of respondents belonging to two related sensitive attributes in survey sampling by extending the work of Mangat(1994). Our proposed estimators are more ecient than Lee et al (2013) simple and crossed model estimators as the population proportion of possessing the sensitive attribute increases. Keywords: Eciency, Proportion Estimation, Randomized Response Techniques, Reliable Information, Unbiased Estimation
- Subjects :
- FOS: Computer and information sciences
Estimation
Reliable Information
Randomized Response Technique
Estimator
Survey sampling
Unbiased Estimation
Efficiency
Methodology (stat.ME)
Simple (abstract algebra)
Statistics
Randomized response
Proportion Estimation
General Earth and Planetary Sciences
Population proportion
62G05
62D05
Randomized Response Techniques
Statistics - Methodology
General Environmental Science
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 2316090X
- Database :
- OpenAIRE
- Journal :
- Afrika Statistika
- Accession number :
- edsair.doi.dedup.....8803ee20f5ff931e265458d9bd5c7ec4