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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Theirperformance with respect to relative biases, relative mean squared errors, coverage probabilities, and coverage lengths is assessed by simulation studies and a real data application
📌 3 Key Takeaways
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Objective & Hypothesis:Three point estimators and two interval estimators of P (Y < X) arederived when X and Y are independent Lévy random variables.
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Key Findings & Data:Three point estimators and two interval estimators of P (Y < X) arederived when X and Y are independent Lévy random variables.
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Conclusion & Impact:Theirperformance with respect to relative biases, relative mean squared errors, coverage probabilities, and coverage lengths is assessed by simulation studies and a real data application
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
Three point estimators and two interval estimators of P (Y < X) arederived when X and Y are independent Lévy random variables. Theirperformance with respect to relative biases, relative mean squared errors, coverage probabilities, and coverage lengths is assessed by simulation studies and a real data application
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Cite This Article
NAJARZADEGAN, H., BABII, S., NADARJAH, S., REZAEI, S. (2022). Estimation of P(Y<X) for the Levy distribution. Hacettepe Journal of Mathematics and Statistics, Cilt: 45 - Sayı: 3, 957–972. https://ajindex.com/articles/530037