Linear estimators under Pitman nearness criterion

被引：0

作者：

Wang, SG

Yang, H

机构：

来源：

CHINESE SCIENCE BULLETIN | 1995年 / 40卷 / 23期

关键词：

Pitman criterion; mean square errors;

D O I：

暂无

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

引用

页码：1944 / 1948

页数：5

共 50 条

[1] Linear estimators under Pitman nearness criterion
王松桂
杨虎
Science Bulletin, 1995, (23) : 1944 - 1948
[2] Comparison of Two Estimators of Parameters Under Pitman Nearness Criterion
Yang, Hu
Li, Wenxue
Xu, Jianwen
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[3] SHRUNKEN ESTIMATORS VIA A PITMAN NEARNESS CRITERION
CONERLY, MD
HARDIN, JM
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 1991, 20 (11) : 3591 - 3604
[4] COMPARISON OF ESTIMATORS OF A DISPERSION MATRIX UNDER GENERALIZED PITMAN NEARNESS CRITERION
SEN, PK
NAYAK, TK
KHATTREE, R
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 1991, 20 (11) : 3473 - 3486
[5] ON PITMAN NEARNESS AND VARIANCE OF ESTIMATORS
DASPEDDADA, S
KHATTREE, R
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 1986, 15 (10) : 3005 - 3017
[6] COMPARISON OF THE ITERATIVE STEIN-RULE AND THE USUAL ESTIMATORS OF THE ERROR VARIANCE UNDER THE PITMAN NEARNESS CRITERION
Unal, Deniz
Yuksel, Guzin
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[7] Comparison of the Stein and the usual estimators for the regression error variance under the Pitman nearness criterion when variables are omitted
Ohtani, Kazuhiro
Wan, Alan T. K.
STATISTICAL PAPERS, 2009, 50 (01) : 151 - 160
[8] Comparison of the Iterative Stein-Rule and the Usual Estimators of the Disturbance Variance Under the Pitman Nearness Criterion in a Linear Regression Model with Proxy Variables
Unal, Deniz
Yuksel, Guzin
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2013, 42 (08) : 1531 - 1541
[9] THE PITMAN NEARNESS CRITERION AND ITS DETERMINATION
RAO, CR
KEATING, JP
MASON, RL
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 1986, 15 (11) : 3173 - 3191
[10] Comparison of the Stein and the usual estimators for the regression error variance under the Pitman nearness criterion when variables are omitted
Kazuhiro Ohtani
Alan T. K. Wan
Statistical Papers, 2009, 50 : 151 - 160

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