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Estimation of Multinomial Proportions using Higher Order Moments of Scrambling Variables in Randomized Response Sampling

机译:随机响应采样中使用加扰变量的高阶矩估计多项式比例

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摘要

An extension to estimating multinomial proportions of potentially sensitive attributes in survey sampling is proposed using higher order moments of scrambling variables at the estimation stage to produce unbiased estimators. The variance and covariance expressions are derived and the relative efficiency of the proposed estimators based on scrambling variables is investigated.
机译:提出了一种在估计阶段使用扰码变量的高阶矩来估计调查抽样中潜在敏感属性的多项比例的扩展,以产生无偏估计量。推导了方差和协方差表达式,并研究了基于加扰变量的估计量的相对效率。

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