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A Novel Extended Gumbel Type Ii Model With Statistical Inference and Covid-19 Applications

dc.contributor.author Sindhu, Tabassum Naz
dc.contributor.author Shafiq, Anum
dc.contributor.author Jarad, Fahd
dc.contributor.author Lone, Showkat Ahmad
dc.date.accessioned 2024-02-12T12:30:43Z
dc.date.accessioned 2025-09-18T12:48:51Z
dc.date.available 2024-02-12T12:30:43Z
dc.date.available 2025-09-18T12:48:51Z
dc.date.issued 2022
dc.description Lone, Showkat Ahmad/0000-0001-7149-3314; Shafiq, Anum/0000-0001-7186-7216; Sindhu, Tabassum/0000-0001-9433-4981 en_US
dc.description.abstract Statistical models play an important role in data analysis, and statisticians are constantly looking for new or relatively new statistical models to fit data sets across a wide range of fields. In this study, we used a new alpha power transformation and the Gumbel Type -II distribution to suggest an unique statistical model. The study contains a simulation analysis to determine the parameters' efficiency. Two real-life data sets were utilized to demonstrate the use of novel alpha power Gumbel Type II (NAPGT-II) distribution. NAPGT-II distribution yields a better fit than Weibull, new alpha power exponential, exponentiated Gumbel Type-II, Gumbel Type-II and exponentiated generalized Gumbel Type-II distribution, as evidenced by the data. en_US
dc.identifier.citation Lone, Showkat Ahmad;...et.al. (2022). "A novel extended Gumbel Type II model with statistical inference and Covid-19 applications", Results in Physics, Vol.35. en_US
dc.identifier.doi 10.1016/j.rinp.2022.105377
dc.identifier.issn 2211-3797
dc.identifier.scopus 2-s2.0-85125840147
dc.identifier.uri https://doi.org/10.1016/j.rinp.2022.105377
dc.identifier.uri https://hdl.handle.net/20.500.12416/12161
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Results in Physics
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Napgt-Ii Model en_US
dc.subject Mean Square Error en_US
dc.subject Apt en_US
dc.subject Average Bias en_US
dc.subject Root Mean Square Error en_US
dc.title A Novel Extended Gumbel Type Ii Model With Statistical Inference and Covid-19 Applications en_US
dc.title A novel extended Gumbel Type II model with statistical inference and Covid-19 applications tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Lone, Showkat Ahmad/0000-0001-7149-3314
gdc.author.id Shafiq, Anum/0000-0001-7186-7216
gdc.author.id Sindhu, Tabassum/0000-0001-9433-4981
gdc.author.scopusid 56079695400
gdc.author.scopusid 56181567000
gdc.author.scopusid 57201708424
gdc.author.scopusid 15622742900
gdc.author.wosid Jarad, Fahd/T-8333-2018
gdc.author.wosid Lone, Showkat Ahmad/Caa-0863-2022
gdc.author.wosid Shafiq, Anum/F-9967-2018
gdc.author.wosid Sindhu, Tabassum/Aar-5257-2020
gdc.author.yokid 234808
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Lone, Showkat Ahmad] Saudi Elect Univ, Coll Sci & Theoret Studies, Dept Basic Sci, Riyadh 11673, Saudi Arabia; [Sindhu, Tabassum Naz] Quaid I Azam Univ 45320, Dept Stat, Islamabad 44000, Pakistan; [Shafiq, Anum] Nanjing Univ Informat Sci & Technol, Sch Math & Stat, Nanjing 210044, Peoples R China; [Jarad, Fahd] Cankaya Univ, Fac Arts & Sci, Dept Math, TR-06530 Ankara, Turkey; [Jarad, Fahd] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung 40402, Taiwan en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 105377
gdc.description.volume 35 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W4220995663
gdc.identifier.wos WOS:000775917800027
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.impulse 16.0
gdc.oaire.influence 3.238048E-9
gdc.oaire.isgreen false
gdc.oaire.keywords NAPGT-II model
gdc.oaire.keywords Physics
gdc.oaire.keywords QC1-999
gdc.oaire.keywords APT
gdc.oaire.keywords Mean square error
gdc.oaire.keywords Root mean square error
gdc.oaire.keywords Average Bias
gdc.oaire.popularity 1.4299776E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 0101 mathematics
gdc.oaire.sciencefields 01 natural sciences
gdc.openalex.collaboration International
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gdc.opencitations.count 11
gdc.plumx.crossrefcites 9
gdc.plumx.mendeley 7
gdc.plumx.scopuscites 18
gdc.publishedmonth 4
gdc.scopus.citedcount 18
gdc.virtual.author Jarad, Fahd
gdc.wos.citedcount 20
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