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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Furthermore, distributions of the minimum and maximum levels of surplus in compound binomial risk model with non-homogeneous claim occurrences are obtained and some of its characteristics are given.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper; survival (non-ruin) probability after a definite time period of an insurance company is studied in a discrete time model based on non-homogenous claim occurrences.
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Key Findings & Data:In this paper; survival (non-ruin) probability after a definite time period of an insurance company is studied in a discrete time model based on non-homogenous claim occurrences.
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Conclusion & Impact:Furthermore, distributions of the minimum and maximum levels of surplus in compound binomial risk model with non-homogeneous claim occurrences are obtained and some of its characteristics are given.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Surplus process · Non-homogenous claim occurrences · Extreme distributions
Abstract
In this paper; survival (non-ruin) probability after a definite time period of an insurance company is studied in a discrete time model based on non-homogenous claim occurrences. Furthermore, distributions of the minimum and maximum levels of surplus in compound binomial risk model with non-homogeneous claim occurrences are obtained and some of its characteristics are given.
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Cite This Article
TANK, F., TUNCEL, A. (2022). Some results on the extreme distributions of surplus process with nonhomogeneous claim occurrences. Hacettepe Journal of Mathematics and Statistics, Cilt: 44 - Sayı: 2, 475–484. https://ajindex.com/articles/529008