文中证明了在Balyes框架下,当漂移参数γ服从有信息先验时,在相当广泛的统计模型中,数据删除模型(CDM)和均值漂移模型(MSOM)的参数估计不相等,几个数值例子验证了相应的结论.
Based on the Bayes framework,it is proved that the estimates of the case deletion model(CDM) and the mean shift outlier model(MSOM) are not necessary equal in a wide class of statistical models whenγ,the shift parameter,has informative priority.Some real examples are given to illustrate the results.