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Bayesian analysis for step-stress accelerated life testing using weibull proportional hazard model
Naijun Sha,
Rong Pan
Computer Science and Engineering
Industrial, Systems and Operations Engineering
Computing and Augmented Intelligence, School of (IAFSE-SCAI)
Research output
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Contribution to journal
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Article
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peer-review
41
Scopus citations
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Dive into the research topics of 'Bayesian analysis for step-stress accelerated life testing using weibull proportional hazard model'. Together they form a unique fingerprint.
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Mathematics
Accelerated Life Testing
88%
Proportional Hazards Model
73%
Bayesian Analysis
64%
Weibull
63%
Rejection Sampling
29%
Adaptive Sampling
27%
Markov Chain Monte Carlo Algorithms
24%
Flexibility
19%
Graphics
17%
Testing
14%
Model
13%
Demonstrate
12%
Performance
11%
Framework
11%
Business & Economics
Life Stress
100%
Bayesian Analysis
93%
Proportional Hazards Model
84%
Testing
50%
Stress Testing
26%
Markov Chain Monte Carlo
24%
Sampling
20%
Inference
16%
Performance
7%