核函数在模糊回归不连续模型估计中的比较

Q4 Biochemistry, Genetics and Molecular Biology Journal of Biomolecular Techniques Pub Date : 2023-04-04 DOI:10.51173/jt.v5i1.1080

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引用次数: 0

摘要

一些实验需要知道它们的有用程度才能继续提供它们。这是通过模糊回归不连续模型来完成的，其中Epanechnikov核和三角核通过生成蒙特卡罗实验的数据并比较得到的结果来估计模型。人们发现……Epanechnikov核具有最小均方误差。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Comparison Between the Kernel Functions Used in Estimating the Fuzzy Regression Discontinuous Model

Some experiments need to know the extent of their usefulness to continue providing them or not. This is done through the fuzzy regression discontinuous model, where the Epanechnikov Kernel and Triangular Kernel were used to estimate the model by generating data from the Monte Carlo experiment and comparing the results obtained. It was found that the. Epanechnikov Kernel has a least mean squared error.

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来源期刊

Journal of Biomolecular Techniques Biochemistry, Genetics and Molecular Biology-Molecular Biology

CiteScore

2.50

自引率

0.00%

发文量

期刊介绍： The Journal of Biomolecular Techniques is a peer-reviewed publication issued five times a year by the Association of Biomolecular Resource Facilities. The Journal was established to promote the central role biotechnology plays in contemporary research activities, to disseminate information among biomolecular resource facilities, and to communicate the biotechnology research conducted by the Association’s Research Groups and members, as well as other investigators.