A note on randomized response models for quantitative data

By S. Bar-Lev, Elizabeta Bobovitch, B. Boukai. 2004

133 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Unbiased estimators of mean, variance and sensitivity level for quantitative characteristics in finite population sampling (2010, background): “In recent years, many improvements and enhancements have significantly increased the value and acceptance of the RR approaches, see Bhargava and Singh (2000); Chua and Tsui (2000); Padmawar and Vijayan (2000); Singh et al. (2000, 2001); Chaudhuri (2001); Bar-Lev et al. (2004) ; Chaudhuri (2004) and”
An Efficiency and Protection Degree-Based Comparison Among the Quantitative Randomized Response Strategies (2008, methodology): “To encourage cooperation of the respondents and truthful answers, and to procure trustworthy data for estimating the proportion of people bearing a socially disapproved characteristic in a community, Warner (1965) first introduced a procedure called the randomized response technique for collecting d”