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A novel extended Gumbel Type II model with statistical inference and Covid-19 applications

dc.contributor.authorLone, Showkat Ahmad
dc.contributor.authorSindhu, Tabassum Naz
dc.contributor.authorShafiq, Anum
dc.contributor.authorJarad, Fahd
dc.contributor.authorID234808tr_TR
dc.date.accessioned2024-02-12T12:30:43Z
dc.date.available2024-02-12T12:30:43Z
dc.date.issued2022
dc.departmentÇankaya Üniversitesi, Fen-Edebiyat Fakültesi, Matematik Bölümüen_US
dc.description.abstractStatistical 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.description.publishedMonth4
dc.identifier.citationLone, 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.doi10.1016/j.rinp.2022.105377
dc.identifier.issn22113797
dc.identifier.urihttp://hdl.handle.net/20.500.12416/7163
dc.identifier.volume35en_US
dc.language.isoenen_US
dc.relation.ispartofResults in Physicsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAPTen_US
dc.subjectAverage Biasen_US
dc.subjectMean Square Erroren_US
dc.subjectNAPGT-II Modelen_US
dc.subjectRoot Mean Square Erroren_US
dc.titleA novel extended Gumbel Type II model with statistical inference and Covid-19 applicationstr_TR
dc.titleA Novel Extended Gumbel Type Ii Model With Statistical Inference and Covid-19 Applicationsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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