A Novel Extended Gumbel Type Ii Model With Statistical Inference and Covid-19 Applications
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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.
Description
Lone, Showkat Ahmad/0000-0001-7149-3314; Shafiq, Anum/0000-0001-7186-7216; Sindhu, Tabassum/0000-0001-9433-4981
Keywords
Napgt-Ii Model, Mean Square Error, Apt, Average Bias, Root Mean Square Error, NAPGT-II model, Physics, QC1-999, APT, Mean square error, Root mean square error, Average Bias
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences
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.
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
13
Source
Results in Physics
Volume
35
Issue
Start Page
105377
End Page
PlumX Metrics
Citations
CrossRef : 9
Scopus : 18
Captures
Mendeley Readers : 7
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