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On Robustness of GLSE in Terms of Error Distributionsin Linear Model

QIU Hongbing1, LUO Ji2   

  1. 1. Department of Applied Mathematics, Guangdong University of Technology, Guangzhou 510006, China;2. School of Mathematics and Statistics, Zhejiang University of Finance and Economics, Hangzhou 310018, China
  • Received:2008-03-24 Revised:1900-01-01 Online:2009-01-26 Published:2009-01-26
  • Contact: LUO Ji

Abstract: Robustness of generalized least square estimator in terms of error distributions in general linear model was discussed. We explored the maximal class of distributions of error term, in which the GLSE possesses robustness, that is, the GLSE is the best linear estimator under the criterion of minimizing the generalized MSE matrix with the error distribution varying within the maximal class.

Key words: linear model, generalized MSE, robust, generalized least square estimator, best linear unbiased estimator

CLC Number: 

  • O212.1