Construction of quite interpretable non-elementary linear regression models
نویسندگان
چکیده
Subject of research: mixed-integer 0-1 linear programming problem for choosing optimal structures non-elementary regression models.
 Purpose integrate into the additional constraints that will guarantee construction quite interpretable regressions.
 Methods analysis, mathematical programming, method successive increase absolute contributions variables to general determination.
 Object Main results in problem, designed construct regressions, on determination are integrated, allowing you control both themselves and multicollinearity model. It is shown how it necessary regulate these so obtained as a result solving interpretable. The proposed apparatus was used model railroad freight transportation Tyumen region. An interpretation high-precision given.
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ژورنال
عنوان ژورنال: Vestnik Ûgorskogo gosudarstvennogo universiteta
سال: 2023
ISSN: ['2078-9114', '1816-9228']
DOI: https://doi.org/10.18822/byusu202204105-114