References
- Cao, M.-X. 2009. Φ admissibility for linear estimators on regression coefficients in a general multivariate linear model under balanced loss function. Journal of Statistical Planning and Inference 139 (9):3354–60. doi:https://doi.org/10.1016/j.jspi.2009.03.013.
- Cao, M.-X., and D.-J. He. 2017. Admissibility of linear estimators of the common mean parameter in general linear models under a balanced loss function. Journal of Multivariate Analysis 153:246–54. doi:https://doi.org/10.1016/j.jmva.2016.10.003.
- Chen, Q.-P., and L.-Q. Sun. 1996. Admissible linear estimates of the common mean parameter in a general multivariate regression models. Journal of Central China Normal University (Natural Sciences) 30:125–9.
- Chung, Y., and C. Kim. 1997. Simultaneous estimation of the multivariate normal mean under balanced loss function. Communications in Statistics—Theory and Methods 26 (7):1599–611. doi:https://doi.org/10.1080/03610929708832003.
- Dong, L.-M., and Q.-G. Wu. 1988. Necessary and sufficient conditions for linear estimators of stochastic regression coefficients and parameters to be admissible under quadratic loss. Acta Mathematica Sinica 31:145–57 (in Chinese).
- Farsipour, N.-S., and A. Asgharzadeh. 2004. Estimation of a normal mean relative to balanced loss function. Statistical Papers 45 (2):279–86. doi:https://doi.org/10.1007/BF02777228.
- Kiefer, J. 1974. General equivalence theory for optimum designs. The Annals of Statistics 2 (5):849–79. doi:https://doi.org/10.1214/aos/1176342810.
- Lehmann, E.-L., and G. Casella. 2005. Theory of point estimation. New York: Springer.
- Markiewicz, A. 2007. Optimal designs in multivariate linear models. Statistics & Probability Letters 77:426–30. doi:https://doi.org/10.1016/j.spl.2006.08.010.
- Rao, C.-R. 1965. Linear statistical inference and its applications. 2nd ed. New York: Wiley.
- Rodrigues, J., and A. Zellner. 1994. Weighted balanced loss function and estimation of the mean time to failure. Communications in Statistics—Theory and Methods 23 (12):3609–16. doi:https://doi.org/10.1080/03610929408831468.
- Xie, M.-Y., and Y.-T. Zhang. 1993. General optimality and general admissible of linear estimates on the mean matrix. Chinese Science Bulletin 35:1071–4.
- Zellner, A. 1994. Bayesian and non-Bayesian estimation using balanced loss function. In Statistical decision theory and related topics V, ed. S. S. Gupta and J. O. Berger, 377–90. New York: Springer.