Estimating the prevalence of a sensitive trait in a population is not a simple task due to the
general tendency among survey respondents to answer sensitive questions in a way that is …

Randomized response (RR) is a well-known interview technique designed to eliminate
evasive response bias that arises from asking sensitive questions. The most frequently …

Sihm et al. proposed an unrelated question binary optional randomized response technique
(RRT) model for estimating the proportion of population that possess a sensitive …

In this study, we propose optional randomized response technique (RRT) models in binary
response situation. Gupta, Gupta, and Singh introduced the basic premise of optional RRT …

We propose a modified unrelated question randomized response technique (RRT) model
which allows respondents the option of answering a sensitive question directly without using …

The main focus of this paper is on validating an Optional Unrelated Question RRT Model
using real survey data. The model to be used in this study is designed to simultaneously …

In this study, we propose optional randomized response technique (RRT) models in binary
response situation. The utility of proposed optional RRT models under stratification are also …

Abstract Recently Gupta et al.(Involve J Math, 2013) introduced optional unrelated question
randomized response models for both the binary response and quantitative response to …

This study addresses a key assumption made while using traditional Randomized
Response models in survey sampling when the question being asked pertains to a sensitive …

Abstract Sihm et al.(2014) introduced modified optional unrelated question RRT model in
both binary and quantitative response situations wherein the prevalence of the sensitive …