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首页> 外文期刊>Journal of applied statistics >A modified two-stage randomized response model for estimating the proportion of stigmatized attribute
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A modified two-stage randomized response model for estimating the proportion of stigmatized attribute

机译：修正的两阶段随机响应模型用于估计污名化属性的比例

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摘要

The survey related to stigmatized characteristics leads to the non-response problem if it is conducted according to classical (direct) methods, especially, developed for non-sensitive issues; therefore, it needs to be applied appropriate survey methodology to get a reliable response from respondents in incriminating issues. Randomized response model is one of the most recent methods which is attracting the attention of survey practitioners to deal with the problems of non-response because it protects the privacy of individuals in order to acquire the truthful response. The present work proposes a new two-stage randomized response model to get rid of misleading response or non-response due to the stigmatized nature of attribute under the study. The proposed randomized response model results in the unbiased estimator of population proportion possessing the sensitive attribute. The properties of the resultant estimator have been studied and empirical comparisons are performed to show its dominance over existing estimators. Suitable recommendations have been put forward to the survey practitioners.
机译：如果按照经典（直接）方法进行，尤其是针对非敏感问题而进行的调查，与被污名化的特征相关的调查将导致无答复问题。因此，需要采用适当的调查方法，以使受访者在提出问题时得到可靠的回应。随机响应模型是最近的一种方法，它吸引了调查从业人员来处理无响应问题，因为它保护个人隐私以获取真实响应。本工作提出了一种新的两阶段随机响应模型，以消除由于该研究中属性的污名化性质而引起的误导性响应或无响应。提出的随机响应模型导致人口比例的无偏估计具有敏感属性。已经研究了所得估计量的性质，并进行了经验比较以显示其在现有估计量上的优势。已经向调查从业人员提出了适当的建议。

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