Geodesic
Multivariate statistical models; solvability of basic problems
Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica, Tome 49 (2010) no. 2, pp. 53-67 Cet article a éte moissonné depuis la source Czech Digital Mathematics Library

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Multivariate models frequently used in many branches of science have relatively large number of different structures. Sometimes the regularity condition which enable us to solve statistical problems are not satisfied and it is reasonable to recognize it in advance. In the paper the model without constraints on parameters is analyzed only, since the greatness of the class of such problems in general is out of the size of the paper.
Multivariate models frequently used in many branches of science have relatively large number of different structures. Sometimes the regularity condition which enable us to solve statistical problems are not satisfied and it is reasonable to recognize it in advance. In the paper the model without constraints on parameters is analyzed only, since the greatness of the class of such problems in general is out of the size of the paper.
Classification : 62H12, 62J05
Keywords: Multivariate model; estimation; testing hypotheses; sensitivity 
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Kubáček, Lubomír. Multivariate statistical models; solvability of basic problems. Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica, Tome 49 (2010) no. 2, pp. 53-67. http://geodesic.mathdoc.fr/item/AUPO_2010_49_2_a4/

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