Geodesic
Estimation of linear parametric functions in multiresponse models
Mathematica Applicanda, Tome 15 (1987) no. 29, pp. 73-91.

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

Consider an incomplete multiresponse experiment with a classification of the observations into u classes. The class Si contains ti treatments with ni observations. Thus, the experiment can be described by the set {Y1,Y2,...,Yu}, where Yi are ni×ti random matrices of observations from the class Si. For the expectation of each Yi a linear model with main and nuisance parameters is proposed. The problem of (linear) estimation of the main parameters is considered using results of R. Zmyślony [in Mathematical statistics and probability theory (Wisła, 1978), 365–373, Lecture Notes in Statist., 2, Springer, New York, 1980; MR0577292] and J. K. Baksalary [Math. Operationsforsch. Statist. Ser. Statist. 15 (1984), no. 1, 3–35; MR0729609].
DOI : 10.14708/ma.v15i29.1691
Classification : 62J05 (62H05)
Mots-clés : Linear regression, Characterization and structure theory 
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Ryszard Walkowiak. Estimation of linear parametric functions in multiresponse models. Mathematica Applicanda, Tome 15 (1987) no. 29, pp.  73-91. doi : 10.14708/ma.v15i29.1691. http://geodesic.mathdoc.fr/articles/10.14708/ma.v15i29.1691/

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