Simmons模型的贝叶斯观点

Bayesian methods in randomized response Simmons models

针对属性特征的敏感性问题的Simmons模型引进贝叶斯观点,讨论了已知无关问题的概率在取什么值时,在Simmons模型下可以得到敏感性问题的估计.由于敏感性问题的未知性,用分层的方法提高精度.最后给出了一种任给一个无关问题的概率而得到精确估计的方法.

In randomized response sampling prior information is of particular value because the randomization effectively reduces the amount of sample information. Bayesian methods are used to randomized response simmons model insensitive question. And stratified sampling is used to estimate the unknown values.