Mean estimation of sensitive variables under measurement errors using optional RRT models
S Khalil, Q Zhang, S Gupta - Communications in Statistics …, 2021 - Taylor & Francis
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 …
random sampling using Optional RRT models when measurement errors are present. We …
Estimation of the mean of a sensitive variable in the presence of auxiliary information
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 …
this estimator performs better than the ordinary mean estimator based on a randomized …
Exponential-type estimators of the mean of a sensitive variable in the presence of nonsensitive auxiliary information
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 …
a sensitive variable using nonsensitive auxiliary variable. This article proposes exponential …
Estimation of population mean for a sensitive variable in the presence of measurement error
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 …
are asked to reveal information about personal or socially undesirable behavior. Getting …
Pseudo-populations
A Quatember - (No Title), 2015 - Springer
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 …
DACSEIS project of the European Union (Data Quality in Complex Surveys within the New …
An improved two-stage randomized response model for estimating the proportion of sensitive attribute
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 …
stigmatized information from respondents while assuring the privacy. In this study, we …
A dexterous randomized response model for estimating a rare sensitive attribute using Poisson distribution
HP Singh, TA Tarray - Statistics & Probability Letters, 2014 - Elsevier
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 …
estimator of the mean number of persons possessing the rare sensitive attribute in presence …
Generalized Double Sampling Family of estimators for population mean of sensitive variable harnessing non-sensitive auxiliary variable and attribute
We present an enhanced double sampling generalized type estimator for the population
mean of a sensitive research variable using information gathered from non-sensitive …
mean of a sensitive research variable using information gathered from non-sensitive …
An alternative to stratified Kim and Warde's randomized response model using optimal (Neyman) allocation
HP Singh, TA Tarray - Model Assisted Statistics and …, 2014 - content.iospress.com
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 …
the sensitive attribute using stratified random sampling. Two alternatives to Kim and Warde …
Randomized response surveys: A note on some privacy protection measures
G Diana, M Giordan, PF Perri - Model Assisted Statistics and …, 2013 - content.iospress.com
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 …
highly confidential questions concerning a quantitative sensitive variable. Most of the …