Geodesic
Estimability of linear parametric functions in a one-dimensional linear model with restrictions
Mathematica Applicanda, Tome 6 (1978) no. 12, pp. 145-151.

Voir la notice de l'article provenant de la source Annales Societatis Mathematicae Polonae Series

The problem of estimability of the vector Cξ in the general linear model Ey=Xξ is discussed. It is assumed that the vector of parameters ξ is a linear manifold Ω given by Rξ=s, where the matrix R and the vector s are known. The vector Cξ is estimable if there exist matrices L and M such that ELy+Ms=Cξ for all ξ in Ω. Using the results of a paper by the authors [62046 above], necessary and sufficient conditions for estimability are presented with short and elegant proofs.
DOI : 10.14708/ma.v6i12.1326
Classification : 62J05
Mots-clés : Linear regression 
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J. K. Baksalary; R. Kala. Estimability of linear parametric functions in a one-dimensional linear model with restrictions. Mathematica Applicanda, Tome 6 (1978) no. 12, pp.  145-151. doi : 10.14708/ma.v6i12.1326. http://geodesic.mathdoc.fr/articles/10.14708/ma.v6i12.1326/

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