A METHOD FOR MEASURING THE NONLINEARITY DEGREE OF MULTIVARIATE POLYNOMIAL AND POSINOMIAL REGRESSION MODELS
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Фамилия:
Bazilevskiy
Имя:
Mikhail
Отчество:
Pavlovich
City:
Irkutsk
Place of work:
Irkutsk State Transport University
Должность:
Associate Professor, the Subdepartment of Mathematics
E-mail:
mik2178@yandex.ru
ESTIMATING THE DEGREE OF NONLINEARITY FOR POLYNOMIAL REGRESSION MODELS
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MODELING OF EMISSIONS OF POLLUTANTS INTO THE ATMOSPHERE OF THE ZABAIKALSKY KRAY
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CONSTRUCTION OF ADDITIVE POWER REGRESSION MODELS WITH DEGREES IN THE FORM OF DISCRETE TIME FUNCTIONS
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INTERPRETATION OF NON-ELEMENTARY LINEAR REGRESSION MODELS
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COMPARATIVE ANALYSIS OF MICROSOFT EXCEL AND LPSOLVE IDE PROGRAMS ON THE EXAMPLE OF SOLVING TRANSPORT PROBLEMS OF LARGE DIMENSIONS
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THE PROBLEM OF CHOOSING THE OPTIMAL STRATEGY TO ACHIEVE A GIVEN LEVEL OF THE SOCIO-ECONOMIC SYSTEM DEVELOPMENT IN A REASONABLE TIME
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In the journal “Mathematics. Mechanics. Informatics "(Scopus, Q3) published an article by M.P. Basilevsky
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FEATURE SELECTION IN REGRESSION MODELS ESTIMATED BY OLS AS A PARTIAL BOOLEAN LINEAR PROGRAMMING PROBLEM: COMPUTATIONAL EXPERIMENTS
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The journal "Informatics and Its Applications" (Scopus, Q3) published an article by M.P.Bazilevskiy
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