A Study of the Ability of the Kernel Estimator of the Density Function for Triangular and Epanechnikov Kernel or Parabolic Kernel

Didier Alain Njamen Njomen; Ludovic Kakmeni Siewe

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A Study of the Ability of the Kernel Estimator of the Density Function for Triangular and Epanechnikov Kernel or Parabolic Kernel

机译：三角函数和Epanechnikov或抛物线形核的密度函数核估计器的能力研究

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摘要

In this paper, we are interested in the nonparametric estimation of probability density. From the ? Rule of thumb ? method, we were able to determine the smoothing parameter of the Parsen-Rosenblatt kernel estimator for the density function. Our study is illustrated by numerical simulations to show the performance of the triangular core and Epanechnikov or parabolic density estimator studied.

机译：在本文中，我们对概率密度的非参数估计感兴趣。来自？经验法则？方法，我们能够为密度函数确定Parsen-Rosenblatt核估计器的平滑参数。数值模拟说明了我们的研究，以显示三角形核心和Epanechnikov或抛物线密度估计器的性能。

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《International Journal of Statistics and Applications》 |2019年第2期|共8页
作者
Didier Alain Njamen Njomen; Ludovic Kakmeni Siewe;
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正文语种
中图分类统计学;
关键词
Density functionSmoothing parameterMethod of Rule of thumb;

机译：密度函数平滑参数经验法则;

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A Study of the Ability of the Kernel Estimator of the Density Function for Triangular and Epanechnikov Kernel or Parabolic Kernel

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