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聚集数据线性模型参数的有偏估计的相对效率
引用本文:周永正. 聚集数据线性模型参数的有偏估计的相对效率[J]. 南昌大学学报(工科版), 2007, 29(3): 279-282
作者姓名:周永正
作者单位:景德镇陶瓷学院,江西,景德镇,333403
基金项目:景德镇市科技局科技计划
摘    要:有偏估计方法是近代回归分析的常用方法.本文研究聚集数据的线性模型参数的有偏估计问题,在欧氏模之比意义下给出了参数的有偏估计的一个相对效率,并在加权欧氏模之比意义下给出了参数的有偏估计的一个相对效率,并得到了这两种相对效率的上界.

关 键 词:聚集数据  线性模型  有偏估计  相对效率
文章编号:1006-0456(2007)03-0279-04
收稿时间:2006-10-26
修稿时间:2006-10-26

The Relative Efficiencies of the Biased Estimators of the Parameters in the Linear Model with Aggregated Date
ZHOU Yong-zheng. The Relative Efficiencies of the Biased Estimators of the Parameters in the Linear Model with Aggregated Date[J]. Journal of Nanchang University(Engineering & Technology Edition), 2007, 29(3): 279-282
Authors:ZHOU Yong-zheng
Affiliation:Jingdezhen Ceramic Institue, Jingdezhen 333403, China
Abstract:Biased estimate methods are basic methods of modern regression analysis.In this paper,we study the usual biased estimate problems of the linear model with aggregated data,we proposed a relative efficiency of biased estimators in rate of euclidean standard a sense,and also a relative efficiency of biased estimator in rate of weighted euclidean standard a sense.The upper bound of the two kinds of relative efficiencies are obtained.
Keywords:aggregated data  the linear model  biased estimators  relative efficiencies
本文献已被 CNKI 维普 万方数据 等数据库收录!
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