Randomized Response and Indirect Questioning Techniques in Surveys Page 1 STATISTICS:
TEXTBOOKS and MONOGRAPHS Randomized Response and Indirect Questioning …

In this paper, an optional randomized response model is proposed. The estimator of the
mean of the stigmatized variable based on the optional randomized response sampling is …

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 …

In this article, a new estimator for estimating the proportion of a potentially sensitive attribute
in survey sampling is introduced. The relative efficiency of the proposed estimator has been …

In this paper, we introduce a ratio estimator for finite population mean in the context of
optional RRT models. We discuss the Bias and the Mean Square Error (MSE) of our …

In the past several decades, the ridge estimator probably is the most widely used non-least
square estimator since being introduced by Hoerl and Kennard (1970). In the case of …

In this paper, we discuss the use of auxiliary information to estimate the population mean of
a sensitive variable when data are perturbed by means of three scrambled response …

This paper introduces an innovative and optimal randomized response model by making
use of correlated scrambling variables for estimating the population mean of a sensitive …

The collection of data through personal interview surveys on sensitive issues such as
induced abortions, drug abuse and family income is a serious issue in social sciences …

This paper considers the problem of estimating the size and mean value of a stigmatized
quantitative character of a hidden gang in a finite population. The proposed method may be …