Bayesian Inference for Probabilistic Risk Assessment: A Practitioner's Guidebook
Author:   Dana Kelly ,  Curtis Smith
Publisher:   Springer London Ltd
Edition:   2011 ed.
ISBN:  

9781849961868


Pages:   228
Publication Date:   31 August 2011
Format:   Hardback
Availability:   Awaiting stock   Availability explained
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Bayesian Inference for Probabilistic Risk Assessment: A Practitioner's Guidebook


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Author:   Dana Kelly ,  Curtis Smith
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   2011 ed.
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.529kg
ISBN:  

9781849961868


ISBN 10:   1849961867
Pages:   228
Publication Date:   31 August 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

Table of Contents

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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Author Information

Dana Kelly and Curtis Smith are both specialists in Bayesian inference for risk and reliability analysis, working at the Idaho National Laboratory, USA. They provide support to the Nuclear Regulatory Commission, NASA, the Joint Research Centre in Pettern, and others. They are the authors of numerous refereed publications in the field.

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