本文针对属性特征的KUK模型建立了贝叶斯估计理论，求出了在先验分布是混合贝塔先验分布、抽样方法是简单随机抽样情况下总体敏感特征比例的贝叶斯估计，并且使用后验均方误差作为精度标准，对贝叶斯估计与极大似然估计进行比较。%In this paper ,we have established the Bayesian estimation theory for the qualitative characteristics randomized response model proposed by Kuk (1990) .We obtained the Bayesian estima-tion of population proportion of a sensitive characteristic as prior information is mixture of Beta distri-butions and sampling method is simple random sampling .And to compare Bayesian estimation to classi-cal maximum likelihood estimation by means of posterior mean square error as the precision measure .
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