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Journals / Hacettepe Journal of Mathematics and Statistics / 2017 / Cilt: 46 - Sayı: 5

Bayesian inference for the Pareto lifetime model in the presence of outliers under progressive censoring with binomial removals

U. J. DİXİT
M. Jabbari NOOGHABİ
Pages
887–904
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In the last, we have given examples with real data.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Here we have used Type II progressive censoring with random removal for the Pareto lifetime model in the presence of outliers.
📊
Key Findings & Data:The number of units removed at each failure time follows a Binomial distribution.
💡
Conclusion & Impact:In the last, we have given examples with real data.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Pareto distribution · Bayesian estimation · Prior

Abstract

Here we have used Type II progressive censoring with random removal for the Pareto lifetime model in the presence of outliers. The number of units removed at each failure time follows a Binomial distribution. The analysis is based on Bayesian approach. In the last, we have given examples with real data.

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Cite This Article

DİXİT, U. J., NOOGHABİ, M. J. (2022). Bayesian inference for the Pareto lifetime model in the presence of outliers under progressive censoring with binomial removals. Hacettepe Journal of Mathematics and Statistics, Cilt: 46 - Sayı: 5, 887–904. https://ajindex.com/articles/529928

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References (4)

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