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回归系数一类线性估计的小样本性质

  • 王鹏远 ,
  • 韦来生
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  • 中国科学技术大学统计与金融系, 合肥 230026

收稿日期: 2008-07-04

  修回日期: 2009-01-04

  网络出版日期: 2009-05-15

基金资助

国家自然科学基金(10771204)和中国科学院知识创新工程重要方向项目(KJCX3-SYW-SO2)资助 

Small sample properties of a kind of linear estimation in linear regression model

  • WANG Peng-Yuan ,
  • WEI Lai-Sheng
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  • University of Science and Technology of China, Hefei 230026, China

Received date: 2008-07-04

  Revised date: 2009-01-04

  Online published: 2009-05-15

Supported by

国家自然科学基金(10771204)和中国科学院知识创新工程重要方向项目(KJCX3-SYW-SO2)资助 

摘要

提出了线性模型中回归系数的一类线性估计.在均方误差矩阵(MSEM)准则和Pitman Closeness(PC)准则下,研究了这类线性估计相对于最小二乘(LS)估计的优良性.最后,讨论了当设计阵为非列满秩时,回归系数的可估函数的一类线性估计的优良性.

本文引用格式

王鹏远 , 韦来生 . 回归系数一类线性估计的小样本性质[J]. 中国科学院大学学报, 2009 , 26(3) : 296 -302 . DOI: 10.7523/j.issn.2095-6134.2009.3.002

Abstract

A kind of linear estimator is derived in linear regression model. The superiorities of the linear estimator over least square (LS) estimator are studied in terms of the mean square error matrix (MSEM) criterion and Pitman closeness (PC) criterion. Finally, the superiorities of the linear estimator of estimable function for regression coefficients are discussed in non-full rank case.

参考文献


[1] Wei LS, Yang YN. The superiority about a class of linear estimation of regression coefficients under Pitman closeness criterion. Chinese Journal of Applied Probability and Statistics, 1997, 13: 225~234 (in Chinese) 韦来生,杨亚宁.PC准则下回归系数的一类线性估计的优良性.应用概率统计,1997, 13: 225~234

[2] Pitman EJG. The closest estimates of statistical parameters. Proc Camb Phil Soc, 1937, 33: 212~222

[3] Rao CR. Some comments on the minimum mean square as criterion of estimation. In: Statistics and Related Topics. North Holland: Amsterdam, 1981. 123~143

[4] Rao CR, Keating JP, Mason RL. The Pitman nearness criterion and determination. Comm Statist Theor Math, 1986, 15: 3173~3191

[5] 王松桂,史建红,尹素菊,等.线性模型引论.北京:科学出版社,2004.20~28

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