dc.contributor.author |
Lone, Showkat Ahmad
|
|
dc.contributor.author |
Sindhu, Tabassum Naz
|
|
dc.contributor.author |
Shafiq, Anum
|
|
dc.contributor.author |
Jarad, Fahd
|
|
dc.date.accessioned |
2024-02-12T12:30:43Z |
|
dc.date.available |
2024-02-12T12:30:43Z |
|
dc.date.issued |
2022-04 |
|
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. |
tr_TR |
dc.identifier.issn |
22113797 |
|
dc.identifier.uri |
http://hdl.handle.net/20.500.12416/7163 |
|
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. |
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dc.language.iso |
eng |
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dc.relation.isversionof |
10.1016/j.rinp.2022.105377 |
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dc.rights |
info:eu-repo/semantics/openAccess |
tr_TR |
dc.subject |
APT |
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dc.subject |
Average Bias |
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dc.subject |
Mean Square Error |
tr_TR |
dc.subject |
NAPGT-II Model |
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dc.subject |
Root Mean Square Error |
tr_TR |
dc.title |
A novel extended Gumbel Type II model with statistical inference and Covid-19 applications |
tr_TR |
dc.type |
article |
tr_TR |
dc.relation.journal |
Results in Physics |
tr_TR |
dc.contributor.authorID |
234808 |
tr_TR |
dc.identifier.volume |
35 |
tr_TR |
dc.contributor.department |
Çankaya Üniversitesi, Fen-Edebiyat Fakültesi, Matematik Bölümü |
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