Unbiased Variance Estimator of the Randomised Response Techniques for Population Mean [PDF]
Antoch, Mola and Vozár (2022) proposed recently new randomized response technique for population mean or total of a quantitative variable. The aim of the paper is to solve the open problem to derive unbiased variance estimator of these procedures.
Ondřej Vozár
doaj +1 more source
Regression Models in Complex Survey Sampling for Sensitive Quantitative Variables
Randomized response (RR) techniques are widely used in research involving sensitive variables, such as drugs, violence or crime, especially when a population mean or prevalence must be estimated.
María del Mar Rueda +2 more
doaj +1 more source
Bayesian estimation in alternative tripartite randomized response techniques
: In this work, a new method of Bayesian estimation for the Alternative Tripartite randomized response technique used in obtaining the proportion of people that belongs to sensitive character was proposed.
Olusegun Sunday Ewemooje +4 more
doaj +1 more source
On partial randomized response model using ranked set sampling
In this paper, we propose a partial randomized response technique to collect reliable sensitive data for estimation of population proportion in ranked set sampling (RSS) scheme using auxiliary information.
Azhar Mehmood Abbasi +2 more
doaj +2 more sources
The randomized response technique is one of the most commonly used indirect questioning methods to collect data on sensitive characteristics in survey research covering a wide variety of statistical applications including, e.g., behavioral science, socio-
Truong-Nhat Le +3 more
doaj +1 more source
An Application of Hermite Distribution in Sensitive Surveys
In this article, we proposed an efficient estimator for estimating population proportion of individuals possessing sensitive attribute in a finite dichotomous population.
Said Farooq Shah, Zawar Hussain
doaj +1 more source
Non-Compliance with Indirect Questioning Techniques:
Indirect questioning techniques are widely discussed and used as methods to avoid or reduce the effects of social desirability in interview situations on sensitive topics.
Thomas Krause, Andreas Wahl
doaj +1 more source
Sharing Social Network Data: Differentially Private Estimation of Exponential-Family Random Graph Models [PDF]
Motivated by a real-life problem of sharing social network data that contain sensitive personal information, we propose a novel approach to release and analyze synthetic graphs in order to protect privacy of individual relationships captured by the ...
Carroll R. J. +13 more
core +3 more sources
Scrambling Reports: New Estimators for Estimating the Population Mean of Sensitive Variables
Warner proposed a methodology called randomized response techniques, which, through the random scrambling of sensitive variables, allows the non-response rate to be reduced and the response bias to be diminished. In this document, we present a randomized
Pablo O. Juárez-Moreno +3 more
doaj +1 more source
Application of Randomized Response Techniques Using Dichotomous Response for Mean Wage in Czechia and Slovakia [PDF]
Research of controversial topics (drug consumption, corruption) requires reliable estimates of population means of sensitive variables (spending on drugs, illegal sources of income). To avoid non-response and fabricated responses surveys using randomized
Ondřej Vozár, Luboš Marek
doaj +1 more source

