Radhakrishna Rao, C. (1978) Choice of best linear estimators in the Gauss-Markoff model with a singular dispersion matrix Communications in Statistics - Theory and Methods, 7 (13). pp. 1119-1208. ISSN 0361-0926
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Official URL: http://www.tandfonline.com/doi/abs/10.1080/0361092...
Related URL: http://dx.doi.org/10.1080/03610927808827705
Abstract
In this paper we obtain the complete class of representations and useful subclasses of MV-UB-LE and MV-MB-LE (minimum variance unbiased and minimum bias linear estimators) of linear parametric functions in the Gauss-Markoff model (Y,Xβ, σ2V) when V is possibly singular.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Taylor and Francis Group. |
| Keywords: | Minimum Norm g-inverse; Least Squares g-inverse; Minimum Bias |
| ID Code: | 71848 |
| Deposited On: | 28 Nov 2011 04:05 |
| Last Modified: | 28 Nov 2011 04:05 |
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