. e ON UNBIASED ESTIMATION FOR RANDOMIZED RESPONSE MODELS
نویسنده
چکیده
For quantitative randomized response models, optimal unbiased estimation of regular functionals of distribution functions is considered. In this context, distribution theory of Hoeffding's U-statistics and von Mises' differentiable statistical functions is extended to randomized response models. Estimation of the basic distributions is also considered.
منابع مشابه
New Randomized Response Procedures
This article focuses on the estimation of population proportion when the study variable is sensitive in nature. Two implicit randomized response techniques are proposed where the unrelated trait can be chosen subjectively. In addition to unbiased estimation of population proportion and variance, an empirical study is conducted to inspect the relative efficiency facet of the proposed techniques....
متن کاملComparison of Linear and Threshold Models for Estimation Genetic and Phenotypic Parameters of Success of Conception at First Service and Inseminations to Conception in Holstein Cattles in East Azarbayjan Province
In this research genetic and phenotypic parameters were estimated using linear and threshold models, for reproductive traits, data from 6 large industrial dairy herd of East Azerbaijan province collected by Agriculture Jihad Organization during 10 years (2001-2010). Best linear unbiased predictions of traits breeding values were estimated using Restricted Maximum Likelihood method by WOMBAT sof...
متن کاملComparison of Linear and Threshold Models for Estimation Genetic and Phenotypic Parameters of Success of Conception at First Service and Inseminations to Conception in Holstein Cattles in East Azarbayjan Province
In this research genetic and phenotypic parameters were estimated using linear and threshold models, for reproductive traits, data from 6 large industrial dairy herd of East Azerbaijan province collected by Agriculture Jihad Organization during 10 years (2001-2010). Best linear unbiased predictions of traits breeding values were estimated using Restricted Maximum Likelihood method by WOMBAT sof...
متن کاملOn Estimation of Sensitive Mean Using Scrambled Data
Submitted: Apr 11, 2013; Accepted: May 18, 2013; Published: Jul 20, 2013 Abstract: This article focuses on the estimation of population mean of a sensitive variable by using additive scrambling technique. The proposed estimator requires two responses from each respondent. The proposed estimator is relatively more efficient than the existing unbiased estimators utilizing the randomized or scramb...
متن کاملCorrection: 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 کامل