A GLM approach to step-stress accelerated life testing with interval censoring
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Publication:665030
DOI10.1016/j.jspi.2011.09.015zbMath1232.62133OpenAlexW2075767635MaRDI QIDQ665030
Publication date: 5 March 2012
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2011.09.015
bootstrap methodproportional hazard modelaccelerated life testingWeibull distributiongeneralized linear model
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Related Items (3)
Optimal planning of progressively Type-I censored step-stress accelerated life test under interval inspection ⋮ The step-stress tampered failure rate model under interval monitoring ⋮ Bayesian analysis for step‐stress accelerated life testing under progressive interval censoring
Cites Work
- A general Bayes exponential inference model for accelerated life testing
- Bootstrap confidence intervals. With comments and a rejoinder by the authors
- Conditions for the coincidence of the TFR, TRV and CE models
- Optimal step-stress test under type I progressive group-censoring with random removals
- A tampered failure rate model for step-stress accelerated life test
- A Semiparametric Model for Regression Analysis of Interval-Censored Failure Time Data
- The Fitting of Exponential, Weibull and Extreme Value Distributions to Complex Censored Survival Data Using GLIM
- Accelerated Life Testing - Step-Stress Models and Data Analyses
- Nonparametric standard errors and confidence intervals
- A Proportional Hazards Model for Interval-Censored Failure Time Data
- Analysis of accelerated life tests with weibull failure distribution via generalized linear models
- Planning Accelerated Life Tests Under Progressive Type I Interval Censoring with Random Removals
- A tampered Brownian motion process model for partial step-stress accelerated life testing
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