Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: All-Russian Scientific and Practical Conference (with International Participation) on Automation Systems in Education, Science and Production; Novokuznetsk, RUSSIA; Novokuznetsk, RUSSIA
Год издания: 2018
Идентификатор DOI: 10.1088/1757-899X/354/1/012006
Аннотация: The paper considers a new approach of regression modeling that uses aggregated data presented in the form of density functions. Approaches to Improving the reliability of aggregation of empirical data are considered: improving accuracy and estimating errors. We discuss the procedures of data aggregation as a preprocessing stage forПоказать полностьюsubsequent to regression modeling. An important feature of study is demonstration of the way how represent the aggregated data. It is proposed to use piecewise polynomial models, including spline aggregate functions. We show that the proposed approach to data aggregation can be interpreted as the frequency distribution. To study its properties density function concept is used. Various types of mathematical models of data aggregation are discussed. For the construction of regression models, it is proposed to use data representation procedures based on piecewise polynomial models. New approaches to modeling functional dependencies based on spline aggregations are proposed. © Published under licence by IOP Publishing Ltd.
Журнал: IOP Conference Series: Materials Science and Engineering
Выпуск журнала: Vol. 351, Is. 1
Номера страниц: 12006
ISSN журнала: 17578981
Издатель: Institute of Physics Publishing