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Truncated Weibull–exponential distribution: methods and applications

This paper introduces a truncated Weibull-exponential distribution and provides a thorough insight into its mathematical characteristics. These characteristics include moments, generating functions, inverse distribution function, and entropy. Various measures are also discussed about the distributio...

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Detalles Bibliográficos
Autores principales: Abbas, Salman, Farooq, Muhammad, Darwish, Jumanah Ahmed, Shahbaz, Saman Hanif, Shahbaz, Muhammad Qaiser
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682399/
https://www.ncbi.nlm.nih.gov/pubmed/38012379
http://dx.doi.org/10.1038/s41598-023-48288-x
Descripción
Sumario:This paper introduces a truncated Weibull-exponential distribution and provides a thorough insight into its mathematical characteristics. These characteristics include moments, generating functions, inverse distribution function, and entropy. Various measures are also discussed about the distribution's reliability. A simulation study is carried out to assess the stability and consistency of the maximum likelihood estimates of the parameters. Finally, two social sciences data sets are used to assess the distribution's relevance in modeling real-world situations.