A New Hybrid Algorithm Based on the Firefly Algorithm and Cuckoo Search to Estimate Survival Analysis of Truncated Inverse Gompertz Distribution

Authors

DOI:

https://doi.org/10.24996/ijs.2024.65.2.26

Keywords:

Firefly Algorithm, Hybrid Algorithm, Cuckoo Search Algorithm, Right Truncated Inverse Gompertz distribution (RTIGD), Maximum Likelihood Estimation Method

Abstract

     This paper introduces the Right Truncated Inverse Gompertz Distribution (RTIGD) with two parameters δ and ϑ with some of its properties as; (Survival-Function, Hazard-Function, cumulative distribution function, probability density function, ‎r-th moment, mean, variance, Moment Generating Function, Median, and Mode. In addition, we propose a new hybrid algorithm, namely the firefly Algorithm with Cuckoo Search Algorithm (FA_CSA) to estimate the parameters based on the survival functions of RTIGD. Simulation is utilized to compare the proposed algorithm with traditional methods, for example, the Maximum Likelihood Estimator and moment method and the standard algorithms Firefly Algorithm and Cuckoo Search. In most cases, the results demonstrate that the proposed algorithm (FA_CSA) provides an accurate estimation for the survival function since it has less mean squared error than the other estimation methods.

 

 

 

Author Biography

Noor Abdul Ameer Jabbar, Department of Mathematics College of Education for pure Sciences (Ibn Al – Haitham),University of Baghdad.

 

 

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Published

2024-02-29

Issue

Section

Mathematics

How to Cite

A New Hybrid Algorithm Based on the Firefly Algorithm and Cuckoo Search to Estimate Survival Analysis of Truncated Inverse Gompertz Distribution. (2024). Iraqi Journal of Science, 65(2), 891-906. https://doi.org/10.24996/ijs.2024.65.2.26

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