A study on skewness and kurtosis estimators of wind speed distribution under indeterminacy

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...

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Bibliographic Details
Published in:Theoretical and applied climatology Vol. 143; no. 3-4; pp. 1227 - 1234
Main Author: Aslam, Muhammad
Format: Journal Article
Language:English
Published: Vienna Springer Vienna 01.02.2021
Springer
Springer Nature B.V
Subjects:
Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Atmospheric Sciences
Climate science
Climatology
Distribution
Earth and Environmental Science
Earth Sciences
energy
Fuzzy logic
Kurtosis
Normal distribution
Original Paper
Random variables
Sample variance
Skewness
Social sciences
Statistical analysis
Statistical methods
Statistics
Waste Water Technology
Water Management
Water Pollution Control
Wind speed
Classical statistics
Kurtosis
Wind speed
Neutrosophic statistics
Skewness
ISSN:0177-798X, 1434-4483
Online Access:Get full text
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Summary: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.
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ISSN:0177-798X
1434-4483
DOI:10.1007/s00704-020-03509-5