In this study we propose an improved mean estimator for a sensitive variable under simple
random sampling using Optional RRT models when measurement errors are present. We …

Sousa et al. introduced a ratio estimator for the mean of a sensitive variable and showed that
this estimator performs better than the ordinary mean estimator based on a randomized …

Sousa et al. and Gupta et al. suggested ratio and regression-type estimators of the mean of
a sensitive variable using nonsensitive auxiliary variable. This article proposes exponential …

Survey researchers are well aware that non-sampling errors are likely to occur if individuals
are asked to reveal information about personal or socially undesirable behavior. Getting …

My first encounter with the term “pseudo-population” was when I was involved in the
DACSEIS project of the European Union (Data Quality in Complex Surveys within the New …

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 …

Taking the clue from the pioneer work of Land et al.(2011), we have suggested an unbiased
estimator of the mean number of persons possessing the rare sensitive attribute in presence …

We present an enhanced double sampling generalized type estimator for the population
mean of a sensitive research variable using information gathered from non-sensitive …

This paper addresses the problem of estimating the population proportion π S possessing
the sensitive attribute using stratified random sampling. Two alternatives to Kim and Warde …

We discuss a number of privacy protection measures in situations where people are asked
highly confidential questions concerning a quantitative sensitive variable. Most of the …