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Research Article | Open Access

From exponential-geometric to Lomax: A unified survival model via gamma frailty

Applied College, King Faisal University, Al-Ahsa, Saudi Arabia
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Abstract

This paper introduces a new flexible lifetime distribution that unifies the exponential-geometric and Lomax models through a random system size and a shared gamma frailty. It models the first failure time in a system with a geometrically distributed number of conditionally exponential components with gamma frailty, producing a geometric mixture of Lomax distributions. The model generalizes classical distributions, reducing to exponential-geometric, Lomax, or exponential under appropriate limits. We derived analytical expressions for the cumulative distribution, survival, and hazard functions, discussed maximum likelihood estimation, and illustrated its competitive and versatile fits on real datasets.

CLC number: 62E15, 60E05, 62F10

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AIMS Mathematics
Pages 29927-29954

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Cite this article:
Rahmouni M. From exponential-geometric to Lomax: A unified survival model via gamma frailty. AIMS Mathematics, 2025, 10(12): 29927-29954. https://doi.org/10.3934/math.20251315

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Received: 07 September 2025
Revised: 22 October 2025
Accepted: 11 November 2025
Published: 19 December 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)