论 IQR 方法在实验数据过滤中的适用性

IF 1.3 4区工程技术 Q3 ENGINEERING, MECHANICAL

Journal of Engineering Thermophysics Pub Date : 2024-04-10 DOI:10.1134/S1810232824010016

B. B. Ilyushin

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引用次数: 0

摘要

摘要本文介绍了对常用的 IQR（四分位间距）方法进行实验数据筛选的测试结果。结果表明，如果测量值的分布与高斯分布相差很大，这种方法在统计特征上会产生很大误差，尤其是高阶矩。早先开发的统计过滤方法可以考虑测量值分布的严重偏斜，并能大大减少过滤误差。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

On Applicability of IQR Method for Filtering of Experimental Data

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On Applicability of IQR Method for Filtering of Experimental Data

The results of testing the popular IQR (Interquartile Range) method for filtering experimental data are presented. It is shown that if the distributions of measured values differ greatly from the Gaussian distribution, this method gives a large error in the statistical characteristics, especially the higher moments. The earlier-developed statistical filtering method can take into account substantial skewness of distributions of measured values and can greatly reduce the filtering error.

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来源期刊

Journal of Engineering Thermophysics THERMODYNAMICS-ENGINEERING, MECHANICAL

CiteScore

2.30

自引率

12.50%

发文量

审稿时长

3 months

期刊介绍： Journal of Engineering Thermophysics is an international peer reviewed journal that publishes original articles. The journal welcomes original articles on thermophysics from all countries in the English language. The journal focuses on experimental work, theory, analysis, and computational studies for better understanding of engineering and environmental aspects of thermophysics. The editorial board encourages the authors to submit papers with emphasis on new scientific aspects in experimental and visualization techniques, mathematical models of thermophysical process, energy, and environmental applications. Journal of Engineering Thermophysics covers all subject matter related to thermophysics, including heat and mass transfer, multiphase flow, conduction, radiation, combustion, thermo-gas dynamics, rarefied gas flow, environmental protection in power engineering, and many others.