A Stratified Hybrid Tripartite Randomized Response Technique

Year 2018, Volume: 31 Issue: 4, 1246 - 1266, 01.12.2018

Olusegun S. Ewemooje , Femi B. Adebola Adedamola A. Adedıran

https://izlik.org/JA49CH86GL

Abstract

This paper proposes a
new stratified technique to address the problem involving estimation of the
population proportion of people with sensitive attribute(s). Studying the
proposed technique under proportional and Neyman allocations shows that the
proposed technique is more
efficient than (outperforms) the Singh & Gorey [1] and Tarray & Singh
[2] stratified randomized response models. Applying the proposed technique to a
survey on drug use disorder also shows the applicability of the model.

Keywords

Proportional allocation , Neyman allocation , Sensitive attribute , Stratification relative , Efficiency

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