Mathew, Thomas ; Rao, C. R. ; Sinha, B. K. (1984) Admissible linear estimation in singular linear models Communications in Statistics - Theory and Methods, 13 (24). pp. 3033-3045. ISSN 0361-0926
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Official URL: http://www.tandfonline.com/doi/abs/10.1080/0361092...
Related URL: http://dx.doi.org/10.1080/03610928408828876
Abstract
The admissibility results of Rao (1976), proved in the context of a nonsingular covariance matrix, are exteneded to the situation where the covariance matrix is singular. Admi.s s Lb Le linear estimators in the Gauss-Markoff model are characterized and admis-sibility of the best linear unbiased estimator is investigated.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Taylor and Francis Group. |
| Keywords: | Gauss-Markoff Model; "Normal" Model; Best Linear Unbiased Estimator; Quadratic Loss Function |
| ID Code: | 71853 |
| Deposited On: | 28 Nov 2011 04:11 |
| Last Modified: | 28 Nov 2011 04:11 |
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