电邮这篇文章 Nonparametric Estimate of a Parzen-Type Probability Density with an Implicitly Specified Form of the Kernel
- 作者: Lapko A.1,2, Lapko V.1,2
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隶属关系:
- Institute of Computational Modelling, Siberian Branch of the Russian Academy of Sciences
- Siberian State Aerospace University
- 期: 卷 59, 编号 6 (2016)
- 页面: 571-576
- 栏目: 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
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详细
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.
作者简介
A. Lapko
Institute of Computational Modelling, Siberian Branch of the Russian Academy of Sciences; Siberian State Aerospace University
编辑信件的主要联系方式.
Email: lapko@icm.krasn.ru
俄罗斯联邦, 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
俄罗斯联邦, Krasnoyarsk; Krasnoyarsk
