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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
A generalization of the exponentiated Weibull geometric model called
📌 3 Key Takeaways
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Objective & Hypothesis:A generalization of the exponentiated Weibull geometric model called
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Key Findings & Data:A generalization of the exponentiated Weibull geometric model called
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Conclusion & Impact:A generalization of the exponentiated Weibull geometric model called
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Exponentiated Weibull geometric distribution · Goodnessoft statistic · Maximum likelihood estimation
Abstract
A generalization of the exponentiated Weibull geometric model called
Keywords
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Cite This Article
ELBATAL, I., CORDEIRO, G. M., SABOOR, A. (2022). The transmuted exponentiated Weibull geometric distribution: Theory and applications. Hacettepe Journal of Mathematics and Statistics, Cilt: 45 - Sayı: 3, 973–987. https://ajindex.com/articles/530106