Optional randomized response models were introduced by Gupta et al.(2002). These
models are based on the basic premise that a question may be sensitive for one respondent …

Randomized response methods for quantitative sensitive data are treated in an unified
approach which includes the use of auxiliary information at the estimation stage. A class of …

Purpose The purpose of this paper is to compare the direct and indirect effects of
transformational, ethical and empowering leadership (EL) on promotive and prohibitive …

Moving from the scrambling mechanism recently suggested by Saha, three scrambled
randomized response (SRR) models are introduced with the intent to realize a right trade-off …

In this paper a review on the results on randomized responses for qualitative variables is
presented. It incorporates recently published papers. It tries to fulfill the lack of a review on …

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 …

ABSTRACT A flexible scrambled response model using a randomization device for
quantitative sensitive data is used to evaluate the protection of respondents' privacy. A …

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 …

Abstract Khalil et al.(2018, 2019a) presented mean estimators of a sensitive study variable
in the presence of measurement errors (ME) in single-phase sampling. We extend that work …

Huang proposed an optional randomized response model using a linear combination
scrambling which is a generalization of the multiplicative scrambling of Eichhorn and Hayre …