Maximum likelihood estimator of the parameter for a continuous one-parameter exponential family under the optimal ranked set sampling

Maximum likelihood estimator of the parameter for a continuous one-parameter exponential family under the optimal ranked set sampling
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最优排序集采样下连续单参数指数族参数的最大似然估计

DOI:
10.1007/s11424-017-6135-3
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发表时间:
2017-05
影响因子:
2.1
通讯作者:
Xie Minyu
Xie Minyu
中科院分区:
数学3区
文献类型:
--
作者:
Chen Wangxue;Tian Yi;Xie Minyu

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研究了排序集抽样下连续单参数指数族参数的极大似然估计。首先根据家庭的特点找到最优RSS,即根据独立同分布样本的准完全充分统计量对RSS进行排序。然后在此RSS下,得到了一些便于实际应用的最大似然函数存在唯一性的充分条件。利用这些条件,证明了该族中一些常见分布的参数最大似然的存在唯一性。这些分布的数值模拟完全支持上述两步优化采样和估计方法的结果。
This paper studies a maximum likelihood estimator (MLE) of the parameter for a continuous one-parameter exponential family under ranked set sampling (RSS). The authors first find the optimal RSS according to the character of the family, viz, arrange the RSS based on quasi complete and sufficient statistic of independent and identically distributed (iid) samples. Then under this RSS, some sufficient conditions for the existence and uniqueness of the MLE, which are easily used in practice, are obtained. Using these conditions, the existence and uniqueness of the MLEs of the parameters for some usual distributions in this family are proved. Numerical simulations for these distributions fully support the result from the above two step optimizations of the sampling and the estimation method.
DOI: 10.1007/bf02911622
发表时间: 1968-01-01
影响因子: 1
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