Acta mathematica scientia,Series A

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Influence Analysis of Covariance Matrix Disturbance in Linear Model with Respect to a Restricted Condition

Zhang Shangli;Qin Hong   

  1. Department of Mathematics, Beijing Jiaotong University, Beijing 100044
  • Received:2004-12-14 Revised:2006-02-16 Online:2006-08-25 Published:2006-08-25
  • Contact: Zhang Shangli

Abstract: In this paper, the authors study the issue of the influence of Best Linear Unbiased Estimate (BLUE) with covariance matrix disturbing
or data missing. The relationship of the BLUE of regression parameter β among some linear models with respect to restricted condition β=0, such as Gauss-Markov model, generalized linear model and linear model with delected data, is made explicitly. In addition, the authors also propose the generalized Cook distance DV to asses the disturbing influence, and obtain two computational formulae of DV.

Key words: Generalized linear regression model, Restricted condition, Best linear
unbiased estimate,
Influence analysis

CLC Number: 

  • 62J20
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