A Novel Entropy-Transformed Inverse Weibull Distribution: Development, Properties, and Application in Diverse Data Modeling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10258405" target="_blank" >RIV/61989100:27240/25:10258405 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/25:10258405
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/10.1002/eng2.70171" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1002/eng2.70171</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/eng2.70171" target="_blank" >10.1002/eng2.70171</a>
Alternative languages
Result language
angličtina
Original language name
A Novel Entropy-Transformed Inverse Weibull Distribution: Development, Properties, and Application in Diverse Data Modeling
Original language description
Standard distributions must be improved to enhance their capacity for data modeling because they do not inherently suit all sorts of data sets in an acceptable manner. Due to this lack of previous ones, we developed a novel model employing the entropy-transformed function. We utilized the inverse Weibull model to function as the reference model to assess the applicability of the entropy transformation. The distribution, referred to as the “Entropy-Transformed Inverse Weibull Distribution” (ETIWL), is derived by applying the entropy transformation to the inverse Weibull model. The proposed distribution's core characteristics have been taken into account. The maximum-likelihood approach is used to estimate the parameters of the given distribution. Four real data sets are used in this study with the thorough simulation analysis to see whether the proposed distribution is superior.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
—
Continuities
O - Projekt operacniho programu
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Engineering Reports
ISSN
2577-8196
e-ISSN
2577-8196
Volume of the periodical
7
Issue of the periodical within the volume
7
Country of publishing house
US - UNITED STATES
Number of pages
23
Pages from-to
"e70171"
UT code for WoS article
001540811300048
EID of the result in the Scopus database
2-s2.0-105011993854