Statistical planning and inference in accelerated life testing using the CHSS model
DOI10.1016/J.JSPI.2003.09.011zbMath1076.62101OpenAlexW1995439091MaRDI QIDQ1888312
Olga Cheminade, Mikhail S. Nikulin, Vilijandas B. Bagdonavičius
Publication date: 23 November 2004
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.2003.09.011
Genetic algorithmReliabilityParametric modelSurvival functionNonparametric modelScaleShapeSimplex methodAccelerated life testingAccelerated failure time modelPlan of experimentsSedyakin modelStep stressTime-dependent stressVariation coefficient
Nonparametric estimation (62G05) Point estimation (62F10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)
Related Items (9)
Uses Software
Cites Work
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- Inference for step-stress accelerated life tests
- Semiparametric inference for the accelerated life model with time- dependent covariates
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- Rank-based inference for the accelerated failure time model
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- Inference from Accelerated Life Tests When Observations Are Obtained from Censored Samples
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- Models for Variable-Stress Accelerated Life Testing Experiments Based on Wiener Processes and the Inverse Gaussian Distribution
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