Minimax estimation of a normal mean vector for arbitrary quadratic loss and unknown covariance matrix
Journal articles
- Academic article
Berger, J; Bock, ME; Brown, LD; Casella, G; Gleser, L
Published in: Ann. Statist.
1977
Duke Scholars
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Published In
Ann. Statist.
Publication Date
1977
Volume
5
Start / End Page
763 / 771
Related Subject Headings
- Statistics & Probability
- 4905 Statistics
- 3802 Econometrics
Citation
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Berger, J., Bock, M. E., Brown, L. D., Casella, G., & Gleser, L. (1977). Minimax estimation of a normal mean vector for arbitrary quadratic loss and unknown covariance matrix. Ann. Statist., 5, 763–771.
Berger, J., M. E. Bock, L. D. Brown, G. Casella, and L. Gleser. “Minimax estimation of a normal mean vector for arbitrary quadratic loss and unknown covariance matrix.” Ann. Statist. 5 (1977): 763–71.
Berger J, Bock ME, Brown LD, Casella G, Gleser L. Minimax estimation of a normal mean vector for arbitrary quadratic loss and unknown covariance matrix. Ann Statist. 1977;5:763–71.
Berger, J., et al. “Minimax estimation of a normal mean vector for arbitrary quadratic loss and unknown covariance matrix.” Ann. Statist., vol. 5, 1977, pp. 763–71.
Berger J, Bock ME, Brown LD, Casella G, Gleser L. Minimax estimation of a normal mean vector for arbitrary quadratic loss and unknown covariance matrix. Ann Statist. 1977;5:763–771.
Published In
Ann. Statist.
Publication Date
1977
Volume
5
Start / End Page
763 / 771
Related Subject Headings
- Statistics & Probability
- 4905 Statistics
- 3802 Econometrics