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对称熵损失下两个指数总体均值的序约束估计
引用本文:赵世舜,宋洋,宋立新.对称熵损失下两个指数总体均值的序约束估计[J].吉林大学学报(理学版),2007,45(1):44-48.
作者姓名:赵世舜  宋洋  宋立新
作者单位:1. 吉林大学 数学研究所, 长春 130012; 2. 大连理工大学 应用数学系, 辽宁省 大连 116024
摘    要:在对称熵损失下, 讨论了样本容量相等时, 两个指数总体均值λi(i=1,2)的约束极大似然估计i的险, 其中约束为λ1≤λ2. 证明了λ1与λ2具有比经典极大似然估计X1与X2 更小的风险, 并给出了当λ21→∞和n→∞时,λi对Xi(i=1,2)渐近功效e(λi,Xi)的值.

关 键 词:序约束  对称熵损失  功效  约束极大似然估计  
文章编号:1671-5489(2007)01-0044-05
收稿时间:2006-03-06
修稿时间:2006年3月6日

Estimation of Order Means of Two Sample Distribution Exponential under Symmetric Entropy Loss
ZHAO Shi-shun,SONG Yang,SONG Li-xin.Estimation of Order Means of Two Sample Distribution Exponential under Symmetric Entropy Loss[J].Journal of Jilin University: Sci Ed,2007,45(1):44-48.
Authors:ZHAO Shi-shun  SONG Yang  SONG Li-xin
Institution:1. Institute of Mathematics, Jilin University, Changchun 130012, China;2. Department of Applied Mathematics, Dalian University of Technology, Dalian 116024, Liaoning Province, China
Abstract:The present paper consider risk of the restricted maximum likelihood estimators (RMLE) of order means of two sample distribution exponential, λ1≤λ2, with the same sample size, under symmetric entropy loss. It proved that RMLE λi have smaller risk than usual sample means Xi(i=1,2). The asymptotic efficiencies e(λi,Xi) of RMLE λi with respect to sample means Xi for λ21→∞ and n→∞ have also been discussed.
Keywords:order restriction  symmetric entropy loss  efficiency  restricted maximun likelihood estimator
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