Мақаланы E-mail арқылы жіберу Nonparametric Estimate of a Parzen-Type Probability Density with an Implicitly Specified Form of the Kernel
- Авторлар: Lapko A.1,2, Lapko V.1,2
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Мекемелер:
- Institute of Computational Modelling, Siberian Branch of the Russian Academy of Sciences
- Siberian State Aerospace University
- Шығарылым: Том 59, № 6 (2016)
- Беттер: 571-576
- Бөлім: 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
Дәйексөз келтіру
Ашық рұқсат
Рұқсат берілді
Тек жазылушылар үшін
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.
Авторлар туралы
A. Lapko
Institute of Computational Modelling, Siberian Branch of the Russian Academy of Sciences; Siberian State Aerospace University
Хат алмасуға жауапты Автор.
Email: lapko@icm.krasn.ru
Ресей, 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
Ресей, Krasnoyarsk; Krasnoyarsk
