Bivariate entropy-transformed Weibull distribution for modelling bivariate system-simulated data from a computer series: Mathematical features and applied results
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F25%3A10256702" target="_blank" >RIV/61989100:27740/25:10256702 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S1110016824017058?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1110016824017058?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.aej.2024.12.107" target="_blank" >10.1016/j.aej.2024.12.107</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Bivariate entropy-transformed Weibull distribution for modelling bivariate system-simulated data from a computer series: Mathematical features and applied results
Popis výsledku v původním jazyce
The bivariate FGM Entropy-Transformed model is a new, flexible family of generalized bivariate distributions based on the FGM copula. The bivariate FGM Entropy-Transformed Weibull model is a new model that we developed based on the FGM copula and Entropy-Transformation. A number of structural statistical properties, such as marginals, conditional distribution, conditional expectation, product moments, moment generating function, reliability function, and hazard rate function, have been inferred from our proposed bivariate family. It is possible to determine the parameters of the model using the maximum likelihood estimation method. Asymptotic confidence intervals are developed as well for the parameter model. We conduct a comprehensive evaluation of the proposed bivariate distribution by performing an extensive Monte Carlo simulation. Finally, the data set analysis demonstrates the practical applicability of the proposed bivariate family.
Název v anglickém jazyce
Bivariate entropy-transformed Weibull distribution for modelling bivariate system-simulated data from a computer series: Mathematical features and applied results
Popis výsledku anglicky
The bivariate FGM Entropy-Transformed model is a new, flexible family of generalized bivariate distributions based on the FGM copula. The bivariate FGM Entropy-Transformed Weibull model is a new model that we developed based on the FGM copula and Entropy-Transformation. A number of structural statistical properties, such as marginals, conditional distribution, conditional expectation, product moments, moment generating function, reliability function, and hazard rate function, have been inferred from our proposed bivariate family. It is possible to determine the parameters of the model using the maximum likelihood estimation method. Asymptotic confidence intervals are developed as well for the parameter model. We conduct a comprehensive evaluation of the proposed bivariate distribution by performing an extensive Monte Carlo simulation. Finally, the data set analysis demonstrates the practical applicability of the proposed bivariate family.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
21100 - Other engineering and technologies
Návaznosti výsledku
Projekt
—
Návaznosti
O - Projekt operacniho programu
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Alexandria Engineering Journal
ISSN
1110-0168
e-ISSN
2090-2670
Svazek periodika
117
Číslo periodika v rámci svazku
April
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
16
Strana od-do
593-608
Kód UT WoS článku
001405642600001
EID výsledku v databázi Scopus
2-s2.0-85215407516