Generalized confidence interval for the scale parameter of the power-law process with incomplete failure data

DOI10.1016/j.csda.2018.06.007zbMath1469.62045OpenAlexW2808782610WikidataQ129625906 ScholiaQ129625906MaRDI QIDQ1796925

Jularat Chumnaul, Mohammad B. Sepehrifar

Publication date: 17 October 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.06.007

zbMATH Keywords

reliability growthpower law processrepairable systemgeneralized confidence interval

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Parametric tolerance and confidence regions (62F25) Reliability and life testing (62N05)

Related Items (3)

Improved test for the scale parameter of the power-law process with incomplete failure data ⋮ Bayesian prior information fusion for power law process via evidence theory ⋮ Modified signed log-likelihood ratio test for the scale parameter of the power-law process with applications to repairable systems

Cites Work

• Unnamed Item
• Statistical inference and prediction for the Weibull process with incomplete observations
• Generalized Confidence Intervals
• Confidence Intervals for the Scale Parameter of the Power-Law Process
• Confidence Interval Procedures for the Weibull Process with Applications to Reliability Growth
• Generalized Confidence Interval for the Scale Parameter of the Power-Law Process

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