Optimal Design for a Bivariate Simple Step-Stress Accelerated Life Testing Model with Type-II Censoring and Gompertz Distribution
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DOI: 10.1142/S0219622015500224
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- Rafik A. Aliev & Oleg H. Huseynov, 2014. "Fuzzy Geometry-Based Decision Making with Unprecisiated Visual Information," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 13(05), pages 1051-1073.
- Khalili-Damghani, Kaveh & Abtahi, Amir-Reza & Tavana, Madjid, 2013. "A new multi-objective particle swarm optimization method for solving reliability redundancy allocation problems," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 58-75.
- Maxim S. Finkelstein, 2006. "On engineering reliability concepts and biological aging," MPIDR Working Papers WP-2006-021, Max Planck Institute for Demographic Research, Rostock, Germany.
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Keywords
Bivariate step-stress accelerated life test; Gompertz distribution; log-linear relationship; cumulative exposure function; maximum likelihood estimator; optimal design; reliability; type II censored data;All these keywords.
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