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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
A real data set is used to illustrate the estimation procedure.
📌 3 Key Takeaways
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Objective & Hypothesis:In this study, inference for the power Lindley distribution under a step-stress partially accelerated life test based on progressive Type-II censoring scheme is studied.
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Key Findings & Data:The performances of the estimators and their corresponding approximate confidence intervals are evaluated with simulation studies.
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Conclusion & Impact:A real data set is used to illustrate the estimation procedure.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Accelerated life test · Progressive censoring · Power lindley
Abstract
In this study, inference for the power Lindley distribution under a step-stress partially accelerated life test based on progressive Type-II censoring scheme is studied. The maximum likelihood estimates of the parameters and acceleration factor is investigated with their corresponding approximate confidence intervals by using asymptotic theory. The performances of the estimators and their corresponding approximate confidence intervals are evaluated with simulation studies. A real data set is used to illustrate the estimation procedure.
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Cite This Article
Çetinkaya, Ç., *, Ç. Ç. (2021). Estimation in Step-Stress Partially Accelerated Life Tests for the Power Lindley Distribution Under Progressive Censoring. Gazi University Journal of Science, Volume: 34 Issue: 2. https://doi.org/10.35378/gujs.682499