The general Gauss-Markov model with possibly singular dispersion matrix
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/BF02777575.pdf
Reference36 articles.
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3. Baksalary, J.K. and Puntanen, S. (1989). Weighted-least squares estimation in the general Gauss-Markov model. In:Statistical Data Analysis and Inference (Dodge, Y., ed.), North-Holland, Amsterdam, pp. 355–368.
4. Baksalary, J.K., Rao, C.R. and Markiewicz, A. (1992). A study of the influence of the ‘natural restrictions’ on estimation problems in the singular Gauss-Markov model,Journal of Statistical Planning and Inference, 31, pp. 335–351.
5. Bhimasankaram, P. and Sengupta, D. (1996). The linear zero functions approach to linear models,Sankhyā, Ser. B, 58, pp. 338–351.
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