The Properties of a Decile-Based Statistic To Measure Symmetry and Asymmetry
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
Mdpi
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
This paper studies a simple skewness measure to detect symmetry and asymmetry in samples. The statistic can be obviously applied with only three short central tendencies; i.e., the first and ninth deciles, and the median. The strength of the statistic to find symmetry and asymmetry is studied by employing numerous Monte Carlo simulations and is compared with some alternative measures by applying some simulation studies. The results show that the performance of this statistic is generally good in the simulation.
Description
Mahmoudi, Mohammadreza/0000-0003-4686-0930; Pho, Kim-Hung/0000-0003-0410-8839; Pho, Kim Hung/0000-0001-9743-1306
Keywords
Symmetry, Asymmetry, Measure Of Skewness, Decile, Monte Carlo Algorithm, symmetry; asymmetry; measure of skewness; decile; Monte Carlo algorithm
Fields of Science
05 social sciences, 0101 mathematics, 0503 education, 01 natural sciences
Citation
Mahmoudi, Mohammad Reza...et al. (2020). "The Properties of a Decile-Based Statistic to Measure Symmetry and Asymmetry", Symmetry-Basel, Vol. 12, No. 2.
WoS Q
Q2
Scopus Q
Q2

OpenCitations Citation Count
4
Source
Symmetry
Volume
12
Issue
2
Start Page
End Page
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Citations
CrossRef : 4
Scopus : 7
Captures
Mendeley Readers : 11
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