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Инд. авторы: Shary S.P.
Заглавие: Maximum compatibility method for data fitting under interval uncertainty
Библ. ссылка: Shary S.P. Maximum compatibility method for data fitting under interval uncertainty // Journal of Computer and Systems Sciences International. - 2017. - Vol.56. - Iss. 6. - P.897-913. - ISSN 1064-2307. - EISSN 1531-8478.
Внешние системы: DOI: 10.1134/S1064230717050100; РИНЦ: 35518892; SCOPUS: 2-s2.0-85040811132; WoS: 000422968100001;
Реферат: eng: For the linear regression model, the data-fitting problem under the interval uncertainty of the data is studied. As an estimate of the linear function parameters, it is proposed to take their values that deliver the maximum for the so-called recognizing functional of the parameter set compatible with the data (the maximum compatibility method). The properties of the recognizing functional, its interpretation, and the properties of the estimates obtained using the maximum compatibility method are investigated. The relationships to other data analysis methods are discussed, and a practical electrochemistry problem is solved.
Ключевые слова: Data handling; Parameter set; Linear regression models; Linear functions; Interval uncertainty; Data analysis methods; Compatibility methods; Regression analysis; Linear regression; Data fittings;
Издано: 2017
Физ. характеристика: с.897-913
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