Estimation of constant-stress accelerated life test for Weibull distribution with nonconstant shape parameter
DOI10.1016/j.cam.2018.05.012OpenAlexW2805188992MaRDI QIDQ1643874
Publication date: 20 June 2018
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2018.05.012
maximum likelihood estimationprogressive censoringaccelerated life testbootstrap techniqueWeibull populationnonconstant shape parameters
Point estimation (62F10) Censored data models (62N01) Reliability, availability, maintenance, inspection in operations research (90B25) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)
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- Exact inference for a simple step-stress model with competing risks for failure from exponential distribution under type-II censoring
- Optimal simple step stress accelerated life test design for reliability prediction
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- Theory for Optimum Accelerated Censored Life Tests for Weibull and Extreme Value Distributions
- Planning accelerated life tests for censored two-parameter exponential distributions
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