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Entropy loss and risk of improved estimators for the generalized variance and precision

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  • Nariaki Sugiura
  • Yoshihiko Konno

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  • Nariaki Sugiura & Yoshihiko Konno, 1988. "Entropy loss and risk of improved estimators for the generalized variance and precision," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 40(2), pages 329-341, June.
    • Handle: RePEc:spr:aistmt:v:40:y:1988:i:2:p:329-341
    DOI: 10.1007/BF00052348
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    References listed on IDEAS

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    1. Ghosh M. & Sinha B. K., 1987. "Inadmissibility Of The Best Equivariant Estimators Of The Variance-Covariance Matrix, The Precision Matrix, And The Generalized Variance Under Entropy Loss," Statistics & Risk Modeling, De Gruyter, vol. 5(3-4), pages 201-228, April.
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    Cited by:

    1. Piotr Graczyk & Hideyuki Ishi & Salha Mamane, 2019. "Wishart exponential families on cones related to tridiagonal matrices," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 71(2), pages 439-471, April.
    2. Wan, Alan T. K. & Zou, Guohua, 2003. "Optimal critical values of pre-tests when estimating the regression error variance: analytical findings under a general loss structure," Journal of Econometrics, Elsevier, vol. 114(1), pages 165-196, May.

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