Jurnal Pendidikan Matematika
Vol. 3 No. 1 (2025): November

Estimating The Hazard Function for A Mixed Distribution Using the Genetic Algorithm with A Practical Application

Taha Faeq Farhan (Unknown)



Article Info

Publish Date
04 Sep 2025

Abstract

In this research, we presented the EKIW (Exponentiated Kumaraswamy Inverse Weibull) Distribution, which is a flexible distribution used in survival and reliability analysis. This distribution includes parameters (α, β, λ, η, θ). Statistical properties such as the hazard function, the quantile function, and the entropy measure were derived for this distribution. The research aims to estimate the hazard function based on one of the artificial intelligence algorithms, which is the genetic algorithm. It was compared with the maximum likelihood method. To prove the applicability of this distribution and which of the two methods is better, sample sizes (n=5, 15, 30, 80, 150) were generated using the comparison criterion, which is the integral mean square error (IMSE). The research also included a practical application for lung cancer patients obtained from the Medical City Hospital in 2025. The results showed that the hazard function's capabilities increased with increasing time of infection for the group of lung cancer patients under study. This is consistent with the theoretical properties of this function, as it is an increasing monotonic function

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Journal Info

Abbrev

ppm

Publisher

Subject

Education Mathematics Other

Description

Jurnal Pendidikan Matematika ISSN 3030-9263 is a scientific journal published by Indonesian Journal Publisher. This journal publishes four issues annually in the months of November, February, May, and August. This journal only accepts original scientific research works (not a review) that have not ...