Bilgilendirme: Kurulum ve veri kapsamındaki çalışmalar devam etmektedir. Göstereceğiniz anlayış için teşekkür ederiz.
 

The Properties of a Decile-Based Statistic To Measure Symmetry and Asymmetry

Loading...
Publication Logo

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
Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

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 Logo
OpenCitations Citation Count
4

Source

Symmetry

Volume

12

Issue

2

Start Page

End Page

PlumX Metrics
Citations

CrossRef : 4

Scopus : 7

Captures

Mendeley Readers : 11

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
0.98372773

Sustainable Development Goals