scholarly journals Estimating Prevalence of Sensitive Attribute with Optional Unrelated Question Randomized Response Models under Simple and Stratified Random Sampling

2019 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Ghulam Narjis ◽  
Javid Shabbir
Keyword(s):  
Random Sampling ◽  
Stratified Random Sampling ◽  
Randomized Response ◽  
Response Models ◽  
Sensitive Attribute ◽  
Randomized Response Models ◽  
Unrelated Question

scholarly journals Optional unrelated-question randomized response models

2013 ◽  
Vol 6 (4) ◽  
pp. 483-492 ◽  
Author(s):  
Sat Gupta ◽  
Anna Tuck ◽  
Tracy Gill ◽  
Mary Crowe
Keyword(s):  
Randomized Response ◽  
Response Models ◽  
Randomized Response Models ◽  
Unrelated Question

An Improved Two-stage Randomized Response Model for Estimating the Proportion of Sensitive Attribute

2021 ◽  
pp. 004912412110099
Author(s):  
Ghulam Narjis ◽  
Javid Shabbir
Keyword(s):  
Random Sampling ◽  
Stratified Random Sampling ◽  
Response Model ◽  
Randomized Response Technique ◽  
Randomized Response ◽  
Two Stage ◽  
Sensitive Attribute ◽  
Mean And Variance ◽  
Efficiency Comparison ◽  
Randomized Response Model

The randomized response technique (RRT) is an effective method designed to obtain the stigmatized information from respondents while assuring the privacy. In this study, we propose a new two-stage RRT model to estimate the prevalence of sensitive attribute ([Formula: see text]). A simulation study shows that the empirical mean and variance of proposed estimator are close to corresponding theoretical values. The utility of proposed two-stage RRT model under stratification is also explored. An efficiency comparison between proposed two-stage RRT model and some existing RRT models is carried out numerically under simple and stratified random sampling.

Sign in / Sign up

Export Citation Format

Share Document