Improved Randomized Response in Optional Scrambling Models
نویسندگان
چکیده
منابع مشابه
Correction: Additive and Subtractive Scrambling in Optional Randomized Response Modeling
This article considers unbiased estimation of mean, variance and sensitivity level of a sensitive variable via scrambled response modeling. In particular, we focus on estimation of the mean. The idea of using additive and subtractive scrambling has been suggested under a recent scrambled response model. Whether it is estimation of mean, variance or sensitivity level, the proposed scheme of esti...
متن کاملAgainst Optional Scrambling
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In this paper, we have suggested a new randomized response model and its properties have been studied. The proposed model is found to be more efficient than the randomized response models studied by Bar Lev et al. (2004) and Eichhorn and Hayre (1983). The relative efficiency of the proposed model has been studied with respect to the Bar Lev et al.s (2004) and Eichhorn and Hayres (1983) models. ...
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The present investigation considers the problem of estimating the mean of a sensitive quantitative variable μA in a human population survey, using the scrambled response technique suggested by Ryu, Kim, Heo and Park (On stratified randomized response sampling, Model Assisted Statistics and Application 1(1), 31–36, 2005–2006). Specifically, using the prior estimate (or guessed mean) of the mean ...
متن کاملA Two-stage Binary Optional Randomized Response Model
Social Desirability Bias (SDB) is the tendency in respondents to answer questions untruthfully in the hope of giving good impression to others. SDB occurs when the survey question is highly sensitive or personal, and responses cause sample statistics to systematically over-or underestimate corresponding population parameters. The Randomized Response Technique (RRT) is one of several methods to ...
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ژورنال
عنوان ژورنال: Journal of Statistical Theory and Applications
سال: 2019
ISSN: 2214-1766
DOI: 10.2991/jsta.d.191112.001