ON DATA CLUSTERING BASED ON PROPERTIES OF METHODS FOR IDENTIFICATION OF LINEAR REGRESSION PARAMETERS
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FORMULATION OF THE PROBLEM OF ESTIMATING REGRESSION PARAMETERS BY MINIMIZING THE VECTOR LOSS FUNCTION SPECIFIED ON OBSERVATION GROUPS
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MODELING OF EMISSIONS OF POLLUTANTS INTO THE ATMOSPHERE OF THE ZABAIKALSKY KRAY
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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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ESTIMATION OF THE PARAMETERS OF LINEAR REGRESSION BY MEANS OF MAXIMIZING THE NUMBER OF COINCIDENCES OF THE SIGNS OF INCREASES OF THE ACTUAL AND CALCULATED VALUES OF THE DEPENDENT VARIABLE
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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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SHORT TERM FORECASTING OF CYBER THREATS
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THE STUDY OF ONE-FACTOR REGRESSION MODELS WITH PARAMETERS IN THE FORM OF LINEAR OPERATORS MATRICES OF TWO-DIMENSIONAL VECTOR SPACE
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ON INDEX TRANSFORMATIONS OF MATRICES IN REGRESSION MODELS CONSTRUCTION
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STATISTICAL ANALYSIS OF CRITERION MATRICES WHEN ORGANIZING A «COMPETITION» OF REGRESSION MODELS
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