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The Extended Exponential Weibull Distribution: Properties, Inference, and Applications to Real‐Life Data

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dc.contributor.author Adam Braima S. Mastor
dc.contributor.author Oscar Ngesa
dc.contributor.author Joseph Mung’atu
dc.contributor.author Nada M. Alfaer
dc.contributor.author Ahmed Z. Afify
dc.date.accessioned 2025-03-06T08:18:11Z
dc.date.available 2025-03-06T08:18:11Z
dc.date.issued 2022-09
dc.identifier.uri http://ir.ttu.ac.ke/xmlui/handle/123456789/121
dc.description.abstract A novel version of the exponential Weibull distribution known as the extended exponential Weibull (ExEW) distribution is developed and examined using the Lehmann alternative II (LAII) generating technique. 'e new distributions basic mathematical properties are derived. 'e maximum likelihood estimation (MLE) technique is used to estimate the unknown parameters of the proposed distribution. 'e estimators’ performance is further assessed using the Monte Carlo simulation technique. Eventually, two real-world data sets are utilized to show the applicability of the new distribution. en_US
dc.language.iso en en_US
dc.publisher Complexity en_US
dc.title The Extended Exponential Weibull Distribution: Properties, Inference, and Applications to Real‐Life Data en_US
dc.type Article en_US


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