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A study on skewness and kurtosis estimators of wind speed distribution under indeterminacy
Theoretical and Applied Climatology ( IF 2.8 ) Pub Date : 2021-01-03 , DOI: 10.1007/s00704-020-03509-5
Muhammad Aslam

In the present paper, two important measures of skewness and kurtosis under indeterminacy are presented. The basic measures to evaluate the nature of the wind speed in the presence of neutrosophic numbers are given. The importance of the proposed measures of skewness and kurtosis under neutrosophic statistics is discussed over the existing measures of skewness and kurtosis under classical statistics. From the wind speed analysis, it is concluded that the wind speed data have heavy-tailed distribution. Therefore, it is recommended to apply a heavy-tailed distribution, like Cauchy distribution, for forecasting and estimation of energy produced by wind speed.



中文翻译:

不确定性下风速分布偏度和峰度估计的研究

本文提出了不确定性下偏度和峰度的两个重要度量。给出了在存在中智数时评估风速性质的基本措施。讨论了在中智统计下提出的偏度和峰度度量的重要性,而不是经典统计下的现有偏度和峰度度量的重要性。从风速分析可以得出结论,风速数据具有重尾分布。因此,建议将重尾分布(如柯西分布)应用于风速产生的能量的预测和估计。

更新日期:2021-01-03
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