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

dc.contributor.author Nasirzadeh, Roya
dc.contributor.author Baleanu, Dumitru
dc.contributor.author Pho, Kim-Hung
dc.contributor.author Mahmoudi, Mohammad Reza
dc.contributor.authorID 56389 tr_TR
dc.date.accessioned 2021-02-03T12:13:24Z
dc.date.accessioned 2025-09-18T13:27:41Z
dc.date.available 2021-02-03T12:13:24Z
dc.date.available 2025-09-18T13:27:41Z
dc.date.issued 2020
dc.description Mahmoudi, Mohammadreza/0000-0003-4686-0930; Pho, Kim-Hung/0000-0003-0410-8839; Pho, Kim Hung/0000-0001-9743-1306 en_US
dc.description.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. en_US
dc.description.publishedMonth 2
dc.identifier.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. en_US
dc.identifier.doi 10.3390/sym12020296
dc.identifier.issn 2073-8994
dc.identifier.scopus 2-s2.0-85080928048
dc.identifier.uri https://doi.org/10.3390/sym12020296
dc.identifier.uri https://hdl.handle.net/123456789/13023
dc.language.iso en en_US
dc.publisher Mdpi en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Symmetry en_US
dc.subject Asymmetry en_US
dc.subject Measure Of Skewness en_US
dc.subject Decile en_US
dc.subject Monte Carlo Algorithm en_US
dc.title The Properties of a Decile-Based Statistic To Measure Symmetry and Asymmetry en_US
dc.title The Properties of a Decile-Based Statistic to Measure Symmetry and Asymmetry tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Mahmoudi, Mohammadreza/0000-0003-4686-0930
gdc.author.id Pho, Kim-Hung/0000-0003-0410-8839
gdc.author.id Pho, Kim Hung/0000-0001-9743-1306
gdc.author.institutional Baleanu, Dumitru
gdc.author.scopusid 57208444555
gdc.author.scopusid 56684432000
gdc.author.scopusid 54918618600
gdc.author.scopusid 7005872966
gdc.author.wosid Mahmoudi, Mohammad Reza/Aax-4890-2020
gdc.author.wosid Baleanu, Dumitru/B-9936-2012
gdc.author.wosid Nasirzadeh, Roya/Abe-6696-2021
gdc.author.wosid Pho, Kim-Hung/Aao-4536-2020
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Mahmoudi, Mohammad Reza] Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam; [Mahmoudi, Mohammad Reza; Nasirzadeh, Roya] Fasa Univ, Dept Stat, Fac Sci, Fasa 7461686131, Fars, Iran; [Baleanu, Dumitru] Cankaya Univ, Fac Art & Sci, Dept Math, TR-06530 Ankara, Turkey; [Baleanu, Dumitru] Inst Space Sci, Bucharest 077125, Romania; [Pho, Kim-Hung] Ton Duc Thang Univ, Fac Math & Stat, Fract Calculus Optimizat & Algebra Res Grp, Ho Chi Minh City 72915, Vietnam en_US
gdc.description.issue 2 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.volume 12 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q2
gdc.identifier.openalex W3007253827
gdc.identifier.wos WOS:000521147600037
gdc.openalex.fwci 0.98372773
gdc.openalex.normalizedpercentile 0.75
gdc.opencitations.count 4
gdc.plumx.crossrefcites 4
gdc.plumx.mendeley 10
gdc.plumx.scopuscites 7
gdc.scopus.citedcount 7
gdc.wos.citedcount 4
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