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Admissibility of Linear Estimators with Respect to Inequality Constraints Under Some Loss Functions

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成果类型:
期刊论文
作者:
Zhang, Shang-li;Qin, Hong*;Wu, Chang-chun
通讯作者:
Qin, Hong
作者机构:
[Zhang, Shang-li] Beijing Jiaotong Univ, Sch Sci, Beijing 100044, Peoples R China.
[Qin, Hong] Cent China Normal Univ, Fac Math & Stat, Wuhan 430079, Hubei, Peoples R China.
[Wu, Chang-chun] Jiaxing Univ, Sch Math & Informat, Jiaxing 314001, Peoples R China.
通讯机构:
[Qin, Hong] C
Cent China Normal Univ, Fac Math & Stat, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
growth curve model;linear estimation;admissibility;incomplete ellipsoidal restriction
期刊:
应用数学学报:英文版
ISSN:
0168-9673
年:
2017
卷:
33
期:
4
页码:
1073-1082
基金类别:
Manuscript received November 1, 2013. Revised December 3, 2014. Supported in part by the National Natural Science Foundation of 11271147. ∗Corresponding author.
机构署名:
本校为通讯机构
院系归属:
数学与统计学学院
摘要:
In this paper, we study the issue of admissibility of linear estimated functions of parameters in the multivariate linear model with respect to inequality constraints under a matrix loss and a matrix balanced loss. Under the matrix loss, when the model is not constrained, the results in the class of non-homogeneous linear estimators [Xie, 1989, Chinese Sci. Bull., 1148-1149; Xie, 1993, J. Multivariate Anal., 1071-1074] showed that the admissibility under the matrix loss and the trace loss is equivalent. However, when the model is constrained by the inequality constraints, we find this equivale...

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