中位数排序抽样下参数的极大似然估计

Maximum Likelihood Estimation Under the Median Ranked Set Sampling

将排序集抽样方法进行改进,提出了一种新的中位数排序抽样方法,基于这一抽样方法提出了样本参数的极大似然估计,并进一步与传统抽样方法下估计的结果作比较,从估计渐进效率的角度说明了该方法的优良性.

In this paper,we modified the rank set sampling and considered a new sample method.We discussed the maximum likelihood estimation under the normal population based on MRSS.Next,we compared the result of the maximum likelihood estimation of MRSS with those of SPS,and proved the excellence of the new method.