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Bivariate entropy-transformed Weibull distribution for modelling bivariate system-simulated data from a computer series: Mathematical features and applied results

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bivariate entropy-transformed Weibull distribution for modelling bivariate system-simulated data from a computer series: Mathematical features and applied results

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    21100 - Other engineering and technologies

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

    Alexandria Engineering Journal

  • ISSN

    1110-0168

  • e-ISSN

    2090-2670

  • Volume of the periodical

    117

  • Issue of the periodical within the volume

    April

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    16

  • Pages from-to

    593-608

  • UT code for WoS article

    001405642600001

  • EID of the result in the Scopus database

    2-s2.0-85215407516