Journal of East China Normal University(Natural Sc ›› 2004, Vol. 2004 ›› Issue (2): 31-36,5.

• Article • Previous Articles     Next Articles

Comparison of MINQUE and Simple Estimators under Entropy and Symmetry Loss Functions

Abdul-Hussein Saber AL-MOUEL   

  1. Department of Mathematical Statistics, East China Normal University, Shanghai 200062, China
  • Received:2002-09-04 Revised:2002-10-11 Online:2004-06-25 Published:2004-06-25
  • Contact: Abdul-Hussein Saber AL-MOUEL

Abstract: This paper considers comparison of MINQUE and simple estimator of Σ in the multivariate normal linear model Y~N(XB, Σ×V) under the risk of entropy loss function and symmetry loss function criterion, where the design matrix X need not have full rank and the dispersion matrix V can be singular. It is interested to prove that MINQUE is superior to simple estimator under Entropy loss function.

Key words: MINQUE, risk function, entropy loss function, symmetry loss function, multivariate linear model, MINQUE, risk function, entropy loss function, symmetry loss function

CLC Number: