基于MATLAB的核密度估计研究

密度估计是数理统计中重要的研究方向之一,在经济学、社会学以及大数据处理等领域有着广泛的应用,核密度估计方法以其简单易操作而备受关注。论文将基于MATLAB软件研究核密度估计方法,通过数值实验对比分析核估计方法关键参数选取对估计效果的影响。其研究结果将为大数据处理提供更加广泛的理论依据。

Density estimation is one of important research directions in mathematical statistics.It is widely used in economics,sociology and big data processing.The kernel density estimation method has attracted much more attention by its simplicity and ease of operation.This paper will study the kernel density estimation by MATLAB software,and analyze the influence of key parameters of kernel method through numerical experiments.The research results will provide more extensive theoretical basis for big data processing.