Afrika Statistika

Improved Randomized Response Technique for Two Sensitive Attributes

Olusegun S. EWEMOOJE and Godwin N. AMAHIA

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We proposed new and more efficient 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 efficient than Lee et al. (2013) simple and crossed model estimators as the population proportion of possessing the sensitive attribute increases.


Ce travail concerne l'estimation des proportions de répondants classés par rapport à deux attributs de sensibilité dans une enquête. Nous proposons des nouveaux estimateurs qui se trouvent être plus performants que ceux de Mangat(1994) dont nos résultats sont un extension. Nos résultats sont aussi plus performants que ceux de Lee et al. (2013) aussi bien dans le cas simple que dans le cas croisé.

Article information

Afr. Stat., Volume 10, Number 2 (2015), 839-853.

First available in Project Euclid: 19 February 2016

Permanent link to this document

Mathematical Reviews number (MathSciNet)

Zentralblatt MATH identifier

Primary: 62D05: Sampling theory, sample surveys 62G05: Estimation

Efficiency Proportion Estimation Randomized Response Techniques Reliable Information Unbiased Estimation


EWEMOOJE, Olusegun S.; AMAHIA, Godwin N. Improved Randomized Response Technique for Two Sensitive Attributes. Afr. Stat. 10 (2015), no. 2, 839--853.

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