Bayesian Inference for Probabilistic Risk Assessment

A Practitioner's Guidebook

AvDana Kelly,Curtis Smith

Inbunden, Engelska, 2011

Del i serien Springer Series in Reliability Engineering

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Häftad

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Beskrivning

Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems.

Produktinformation

Utgivningsdatum:2011-08-31
Mått:155 x 235 x 19 mm
Vikt:498 g
Format:Inbunden
Språk:Engelska
Serie:Springer Series in Reliability Engineering
Antal sidor:228
Upplaga:2011
Förlag:Springer London Ltd
ISBN:9781849961868

Utforska kategorier

Matematisk statistik inom Naturvetenskap och teknik

Mer om författaren

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.

Innehållsförteckning

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.