Optimal sample size allocation for multi-level stress testing with exponential regression under type-I censoring

DOI10.1080/03610926.2015.1078474zbMath1338.62160OpenAlexW2196323756MaRDI QIDQ2807810

Hon Keung Tony Ng, Ping Shing Chan, Hon-Yiu So, Narayanaswamy Balakrishnan

Publication date: 25 May 2016

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

Full work available at URL: https://doi.org/10.1080/03610926.2015.1078474

zbMATH Keywords

accelerated life testingFisher information matrixoptimal designmaximum likelihood estimatorsoptimal allocationtype-I censoringexponential regression

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Optimal statistical designs (62K05) Censored data models (62N01)

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Cites Work

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• Confidence Limits for Weibull Regression With Censored Data
• Optimal design of partially accelerated life tests for the exponential distribution under type-I censoring
• An optimal design of accelerated life test for exponential distribution
• Optimal sample size allocation for multi-level stress testing with Weibull regression under Type-II censoring
• Optimal sample size allocation for tests with multiple levels of stress with extreme value regression

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