文章介绍了一种改进的敏感性问题随机化回答模型，并把贝叶斯方法用于该模型的参数估计，最后得出了参数的近似解。
This paper introduces an advanced random response model in sensitive question, and uses Bayesian methods in valuing the parameter, and finally obtains the parameter approximation.
本文在随机截尾模型的基础上，为了提高回答者的合作程度，提出了两种改进的调查敏感性问题数量特征的随机化回答方法。
Method Cochran's classic sampling theo- ries, the improved randomized response technique(RRT) model, total probability formulas and properties of variance were used in this paper.
本文在随机截尾模型的基础上，为了提高回答者的合作程度，提出了两种改进的调查敏感性问题数量特征的随机化回答方法。
Method Cochran's classic sampling theo- ries, the improved randomized response technique(RRT) model, total probability formulas and properties of variance were used in this paper.
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