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
复制标题
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
中科院分区:
文献类型:
--
作者:
Chen Wangxue;Tian Yi;Xie Minyu
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.
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影响因子:
1
作者:
TAKAHASI, K;WAKIMOTO, K
通讯作者:
WAKIMOTO, K
影响因子:
0.7
作者:
G. Lesitha;P. Yageen Thomas
通讯作者:
G. Lesitha;P. Yageen Thomas
影响因子:
1
作者:
Lynne Stokes
通讯作者:
Lynne Stokes
DOI:
10.1002/wics.92
发表时间:
2010-07
期刊:
Wiley Interdisciplinary Reviews: Computational Statistics
影响因子:
--
作者:
D. Wolfe
通讯作者:
D. Wolfe
影响因子:
2.1
作者:
M. Xie;Ming Xiong;Ming Wu
通讯作者:
M. Xie;Ming Xiong;Ming Wu