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NS Condition of Admissibility for the Linear Estimator of Normal Mean with Unknown Variance
作者姓名:Xing  Zhong  XU  Qi  Guang  WU
作者单位:[1]Beijing Institute of Technology, Beijing 100081, P. R. China [2]Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, P. R. China
基金项目:This work is supported by The NNSF of China with Nos. 10071090 and 10271013
摘    要:Suppose Y - N(β, σ^2 In), where β ∈ R^n and σ^2 〉 0 are unknown. We study the admissibility of linear estimators of mean vector under a quadratic loss function. A necessary and sufficient condition of the admissible linear estimator is given.

关 键 词:多变量常态分布  线性估计  可容许性  二次函数
收稿时间:2002-12-04
修稿时间:2002-12-042003-04-02

NS Condition of Admissibility for the Linear Estimator of Normal Mean with Unknown Variance
Xing Zhong XU Qi Guang WU.NS Condition of Admissibility for the Linear Estimator of Normal Mean with Unknown Variance[J].Acta Mathematica Sinica,2005,21(5):1083-1086.
Authors:Xing Zhong Xu  Qi Guang Wu
Institution:(1) Beijing Institute of Technology, Beijing 100081, P. R. China;(2) Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, P. R. China
Abstract:Suppose YN(β, σ2 I n), where β ∈ R n and σ2 > 0 are unknown. We study the admissibility of linear estimators of mean vector under a quadratic loss function. A necessary and suffcient condition of the admissible linear estimator is given. This work is supported by The NNSF of China with Nos. 10071090 and 10271013
Keywords:Multivariate normal distribution  Mean vector  Linear estimator  Admissibility
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