A mixture binary RRT model with a unified measure of privacy and efficiency

Max Lovig, Sat Gupta, Sumaita Sadia Rahman, Pujita Sapra, Sadia Khalil

Abstract: In this study, we introduce a mixture binary Randomized Response Technique (RRT) model by combining the elements of the Greenberg Unrelated Question model and the Warner Indirect Question model. We also account for untruthful responding in the proposed model. A unified measure of model efficiency and respondent privacy is also presented. Finally, we present a simulation study to validate the theoretical findings.