Мақаланы E-mail арқылы жіберу Fast Algorithm for Choosing Kernel Function Blur Coefficients in a Nonparametric Probability Density Estimate
- Авторлар: Lapko A.V.1,2, Lapko V.A.1,2
-
Мекемелер:
- Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences
- Reshetnev Siberian State University of Science and Technology
- Шығарылым: Том 61, № 6 (2018)
- Беттер: 540-545
- Бөлім: Article
- URL: https://journals.rcsi.science/0543-1972/article/view/246502
- DOI: https://doi.org/10.1007/s11018-018-1463-9
- ID: 246502
Дәйексөз келтіру
Ашық рұқсат
Рұқсат берілді
Тек жазылушылар үшін
Аннотация
A fast algorithm for choosing the blurring coefficients of kernel functions for a nonparametric probability density estimate is proposed, and its properties are investigated. The technique of interval estimation of the standard deviation of the nonparametric statistics under consideration is considered.
Авторлар туралы
A. Lapko
Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences; Reshetnev Siberian State University of Science and Technology
Хат алмасуға жауапты Автор.
Email: lapko@icm.krasn.ru
Ресей, Krasnoyarsk; Krasnoyarsk
V. Lapko
Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences; Reshetnev Siberian State University of Science and Technology
Email: lapko@icm.krasn.ru
Ресей, Krasnoyarsk; Krasnoyarsk
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