Moment-based approximation for a renewal reward process with generalized gamma-distributed interference of chance

This study investigates the renewal reward process under the assumption that the random variables describing the discrete interference of chance follow a generalized gamma distribution. A moment-based approximation method is employed to derive novel results for the renewal function, enabling an appr...

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Bibliographic Details
Main Authors: Yazır Tülay, Kamışlık Aslı Bektaş, Khaniyev Tahir, Hanalioglu Zulfiye
Format: Article
Language:English
Published: De Gruyter 2025-07-01
Series:Demonstratio Mathematica
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Online Access:https://doi.org/10.1515/dema-2025-0153
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Summary:This study investigates the renewal reward process under the assumption that the random variables describing the discrete interference of chance follow a generalized gamma distribution. A moment-based approximation method is employed to derive novel results for the renewal function, enabling an approximation of the ergodic distribution of the process. Furthermore, the limiting distribution of the ergodic distribution is also derived. The theoretical findings are illustrated through a specific example in which the demand random variable η1{\eta }_{1} is represented by a third-order Erlang distribution with parameter θ=1\theta =1.
ISSN:2391-4661