Отправить статью по E-mail Nonparametric Estimate of a Parzen-Type Probability Density with an Implicitly Specified Form of the Kernel
- Авторы: Lapko A.1,2, Lapko V.1,2
-
Учреждения:
- Institute of Computational Modelling, Siberian Branch of the Russian Academy of Sciences
- Siberian State Aerospace University
- Выпуск: Том 59, № 6 (2016)
- Страницы: 571-576
- Раздел: General Problems of Metrology and Measurement Technique
- URL: https://journals.rcsi.science/0543-1972/article/view/245355
- DOI: https://doi.org/10.1007/s11018-016-1010-5
- ID: 245355
Цитировать
Открытый доступ
Доступ предоставлен
Только для подписчиков
Аннотация
A nonparametric estimate for the probability density is proposed with better approximation properties than the traditional Rosenblatt–Parzen statistics. The dependences of its properties on the form of the kernel function and on the formulas for the sampling interval for the random quantity are discussed.
Об авторах
A. Lapko
Institute of Computational Modelling, Siberian Branch of the Russian Academy of Sciences; Siberian State Aerospace University
Автор, ответственный за переписку.
Email: lapko@icm.krasn.ru
Россия, Krasnoyarsk; Krasnoyarsk
V. Lapko
Institute of Computational Modelling, Siberian Branch of the Russian Academy of Sciences; Siberian State Aerospace University
Email: lapko@icm.krasn.ru
Россия, Krasnoyarsk; Krasnoyarsk
