Maximum compatibility method for data fitting under interval uncertainty

Результат исследования: Научные публикации в периодических изданияхстатья

1 Цитирования (Scopus)

Аннотация

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.

Язык оригиналаанглийский
Страницы (с-по)897-913
Число страниц17
ЖурналJournal of Computer and Systems Sciences International
Том56
Номер выпуска6
DOI
СостояниеОпубликовано - 1 ноя 2017

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