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Bayes minimax estimation of the multivariate normal mean vector under balanced loss function

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  • Zinodiny, S.
  • Rezaei, S.
  • Nadarajah, S.

Abstract

We investigate the problem of simultaneous estimation of multivariate normal mean vector using Zellner (1994)’s balance loss function when common variance σ2 is unknown. We first find a class of minimax estimators for this problem which extends a class given by Chung et al. (1999). This result is then used to obtain a large class of Bayes minimax estimators for mean vector.

Suggested Citation

  • Zinodiny, S. & Rezaei, S. & Nadarajah, S., 2014. "Bayes minimax estimation of the multivariate normal mean vector under balanced loss function," Statistics & Probability Letters, Elsevier, vol. 93(C), pages 96-101.
    • Handle: RePEc:eee:stapro:v:93:y:2014:i:c:p:96-101
    DOI: 10.1016/j.spl.2014.06.022
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    References listed on IDEAS

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    1. Dey Dipak K. & Kim Chansoo & Chung Younshik, 1999. "A New Class Of Minimax Estimators Of Multivariate Normal Mean Vectors Under Balanced Loss Function," Statistics & Risk Modeling, De Gruyter, vol. 17(3), pages 255-266, March.
    2. Dey, Dipak K. & Ghosh, Malay & Strawderman, William E., 1999. "On estimation with balanced loss functions," Statistics & Probability Letters, Elsevier, vol. 45(2), pages 97-101, November.
    3. Zinodiny, S. & Rezaei, S. & Arjmand, O. Naghshineh & Nadarajah, S., 2013. "Bayes minimax estimation of the multivariate normal mean vector under quadratic loss functions," Statistics & Probability Letters, Elsevier, vol. 83(9), pages 2052-2056.
    4. Wells, Martin T. & Zhou, Gongfu, 2008. "Generalized Bayes minimax estimators of the mean of multivariate normal distribution with unknown variance," Journal of Multivariate Analysis, Elsevier, vol. 99(10), pages 2208-2220, November.
    5. Hu, Guikai & Peng, Ping, 2012. "Matrix linear minimax estimators in a general multivariate linear model under a balanced loss function," Journal of Multivariate Analysis, Elsevier, vol. 111(C), pages 286-295.
    6. Hu, Guikai & Peng, Ping, 2011. "All admissible linear estimators of a regression coefficient under a balanced loss function," Journal of Multivariate Analysis, Elsevier, vol. 102(8), pages 1217-1224, September.
    7. Zinodiny, S. & Strawderman, W.E. & Parsian, A., 2011. "Bayes minimax estimation of the multivariate normal mean vector for the case of common unknown variance," Journal of Multivariate Analysis, Elsevier, vol. 102(9), pages 1256-1262, October.
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    Cited by:

    1. Shen-Tsu Wang, 2016. "An Exploration of Sustainable Customer Value and the Procedure of the Intelligent Digital Content Analysis Platform for Big Data Using Dynamic Decision Making," Asian Journal of Economics and Empirical Research, Asian Online Journal Publishing Group, vol. 3(1), pages 25-31.
    2. Zinodiny, S. & Rezaei, S. & Nadarajah, S., 2017. "Bayes minimax estimation of the mean matrix of matrix-variate normal distribution under balanced loss function," Statistics & Probability Letters, Elsevier, vol. 125(C), pages 110-120.
    3. Marchand, Éric & Strawderman, William E., 2020. "On shrinkage estimation for balanced loss functions," Journal of Multivariate Analysis, Elsevier, vol. 175(C).

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