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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Finally, characterization results of the proportional hazards and proportional reversed hazards models are given.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper we propose two measures of discrimination of order ($\alpha$, $\beta$) for residual and past lifetimes.
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Key Findings & Data:Lower and upper bounds of the proposed measures are derived.
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Conclusion & Impact:Finally, characterization results of the proportional hazards and proportional reversed hazards models are given.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Residual lifetimes · past lifetimes · hazard rate function
Abstract
In this paper we propose two measures of discrimination of order ($\alpha$, $\beta$) for residual and past lifetimes. Lower and upper bounds of the proposed measures are derived. Some bounds are obtained by considering weighted distributions and subsequently, examples are presented. Finally, characterization results of the proportional hazards and proportional reversed hazards models are given.
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Cite This Article
KAYAL, S. (2015). Some results on dynamic discrimination measures of order ($\alpha$, $\beta$). Hacettepe Journal of Mathematics and Statistics, Cilt: 44 Sayı: 1, 179–188. https://ajindex.com/articles/929276