Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Scientific Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon); Vladivostok, RUSSIA; Vladivostok, RUSSIA

Год издания: 2018

Ключевые слова: probability density, nonparametric estimation Rosenblatt-Parzen, approximation properties, kernel function, Sturges' rule, Heinhold-Gaede rule

Аннотация: The new nonparametric probability density estimation based on use of the smoothing operator is offered and investigated. It has smaller dispersion in comparison with probability density estimation like Rosenblatt-Parzen.

Журнал: 2018 INTERNATIONAL SCIENTIFIC MULTI-CONFERENCE ON INDUSTRIAL ENGINEERING AND MODERN TECHNOLOGIES (FAREASTCON)

Место издания: NEW YORK

Издатель: IEEE

• Lapko Aleksandr V. (Reshetnev Siberian State Univ Sci & Technol, Inst Comp Modelling SB RAS, Krasnoyarsk, Russia)
• Lapko Vasiliy A. (Reshetnev Siberian State Univ Sci & Technol, Inst Comp Modelling SB RAS, Krasnoyarsk, Russia)
• Yuronen Ekaterina A. (Reshetnev Siberian State Univ Sci & Technol, Siberian Fed Univ, Krasnoyarsk, RussiaProceedings Paper)

• Web of Science Core Collection
• Scopus