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半相依回归系统参数的Stein型主成分改进估计
引用本文:朱宁,徐标,李兵.半相依回归系统参数的Stein型主成分改进估计[J].广西科学,2006,13(3):184-186,193.
作者姓名:朱宁  徐标  李兵
作者单位:桂林电子工业学院计算科学与数学系,广西桂林,541004
摘    要:将S tein压缩思想与主成分改进估计相结合,研究两个半相依回归系统.当设计阵呈病态时,提出S tein型主成分改进估计,同时,给出当V未知时的两步估计.证明在均方误差意义下,S tein型主成分改进估计局部优于主成分改进估计和协方差改进估计.

关 键 词:半相依回归系统  协方差改进估计  Stein型主成分改进估计  两步估计
文章编号:1005-9164(2006)03-0184-03
收稿时间:2005-12-19
修稿时间:2005-12-192006-03-22

The Stein-type Principal Components Adjusted Estimate of the Parameters in Seemingly Unrelated Regression System
ZHU Ning,XU Biao and LI Bing.The Stein-type Principal Components Adjusted Estimate of the Parameters in Seemingly Unrelated Regression System[J].Guangxi Sciences,2006,13(3):184-186,193.
Authors:ZHU Ning  XU Biao and LI Bing
Institution:Department of Computational Science and Mathematics, Guilin University of Electronic Technology, Guilin,Guangxi, 541004, China
Abstract:We would relate Stein-Type Shrunken thingking to the principal components adjusted estimate to study a seemingly unrelated regression system. A Stein-Type principal Components adjusted estimate is proposed as the design matrix is ill-conditioned while giving two-age estimate when V is unknown. Under the criteria of means square error,the Stein-Type principal components adjust estimate is better than the principal components adjust estimate and covariance adjusted estimate.
Keywords:the seemingly regression  covariance adjusted estimate  Stein-type principal components adjusted estimate  two-stage estimate
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