A Stratified Hybrid Tripartite Randomized Response Technique

Authors : Olusegun S. EWEMOOJE, Femi B. ADEBOLA, Adedamola A. ADEDIRAN

Pages : 1246-1266

View : 11 | Download : 9

Publication Date : 2018-12-01

Article Type : Research Paper

Abstract :This paper proposes a new stratified technique to address the problem involving estimation of the population proportion of people with sensitive attributeinsert ignore into journalissuearticles values(s);. Studying the proposed technique under proportional and Neyman allocations shows that the proposed technique is more efficient than insert ignore into journalissuearticles values(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