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  5. Information problems of canonical regression analysis

Information problems of canonical regression analysis

L.G. Raskin, O.W. Seraja
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The technology solutions for the problems of regression analysis where the traditional presuppositions are violated. At the same time methods for estimating the parameters of the regression equation when the independent variables - the randomor fuzzy variables are developed. A solution of the problem of fuzzy comparator for identifying the source data is offered.
Keywords: regression analysis, violation of assumptions, fuzzy source data,comparator identification