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Bayesian Inference for Probabilistic Risk Assessment: A Practitioner's Guidebook
Paperback
Series: Springer Reliability Engineering
ISBN13: 9781447127086
Publisher: Springer Nature
Published: Nov 27 2013
Pages: 228
Weight: 0.75
Height: 0.51 Width: 6.14 Depth: 9.21
Language: English
1. Introduction and Motivation.- 2. Introduction to Bayesian Inference.- 3. Bayesian Inference for Common Aleatory Models.- 4. Bayesian Model Checking.- 5. Time Trends for Binomial and Poisson Data.- 6. Checking Convergence to Posterior Distribution.- 7. Hierarchical Bayes Models for Variability.- 8. More Complex Models for Random Durations.- 9. Modeling Failure with Repair.- 10. Bayesian Treatment of Uncertain Data.- 11. Bayesian Regression Models.- 12. Bayesian Inference for Multilevel Fault Tree Models.- 13. Additional Topics.
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