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.
方法将造模成功的大鼠按随机化原则分为针刺组、西药组、模型组，同时将普食组大鼠作为正常对照组，每组各8只。
Methods The rats of type 2 diabetes model were randomly divided into acupuncture group, rosiglitazone group and model control group, meanwhile 8 normal rats were assigned as the normal control group.
方法建立大鼠心肌缺血模型，将24只大鼠按随机化原则分为对照组、高剂量组、低剂量组、假手术组。
Methods Established a model of myocardial ischemia rats and 24 rats were divided into 4 groups randomly with control group, high-dose group, low-dose group, sham operated group.
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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