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.contributor.authorID | 234808 | tr_TR |
| dc.contributor.other | 02.02. Matematik | |
| dc.contributor.other | 02. Fen-Edebiyat Fakültesi | |
| dc.contributor.other | 01. Çankaya Üniversitesi | |
| 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.description.publishedMonth | 4 | |
| 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/123456789/12161 | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier | en_US |
| 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.institutional | Jarad, Fahd | |
| 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.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.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.openalex.fwci | 7.51393494 | |
| gdc.openalex.normalizedpercentile | 0.96 | |
| gdc.openalex.toppercent | TOP 10% | |
| gdc.opencitations.count | 11 | |
| gdc.plumx.crossrefcites | 9 | |
| gdc.plumx.mendeley | 7 | |
| gdc.plumx.scopuscites | 18 | |
| gdc.scopus.citedcount | 18 | |
| gdc.wos.citedcount | 19 | |
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