Generalized Confidence Interval for the Scale Parameter of the Power-Law Process

DOI10.1080/03610926.2011.588363zbMath1347.62211OpenAlexW2090366799MaRDI QIDQ4921647

Min Xie, Jun Xing Zhou, Bing Xing Wang

Publication date: 13 May 2013

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2011.588363

zbMATH Keywords

nonhomogeneous Poisson processscale parameterrepairable systemgeneralized confidence intervalpower-law process

Mathematics Subject Classification ID

Robustness and adaptive procedures (parametric inference) (62F35) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (4)

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 ⋮ Generalized confidence interval for the scale parameter of the power-law process with incomplete failure data ⋮ Modified signed log-likelihood ratio test for the scale parameter of the power-law process with applications to repairable systems

Cites Work

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• Statistical inference and prediction for the Weibull process with incomplete observations
• A General Framework for Learning Curve Reliability Growth Models
• Confidence Intervals for the Scale Parameter of the Power-Law Process
• A New Goodness-of-Fit Test Based on the Laplace Statistic for a Large Class of NHPP Models

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