Bayesian Inference for Probabilistic Risk Assessment

Dana Kelly () and Curtis Smith ()
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Dana Kelly: Idaho National Engineering &
Curtis Smith: Idaho National Engineering &

in Springer Series in Reliability Engineering from Springer, currently edited by Hoang Pham

Date: 2011
ISBN: 978-1-84996-187-5
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Citations: View citations in EconPapers (19)

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Chapters in this book:

Ch Chapter 1 Introduction and Motivation

Dana Kelly and Curtis Smith

Ch Chapter 10 Bayesian Treatment of Uncertain Data

Dana Kelly and Curtis Smith

Ch Chapter 11 Bayesian Regression Models

Dana Kelly and Curtis Smith

Ch Chapter 12 Bayesian Inference for Multilevel Fault Tree Models

Dana Kelly and Curtis Smith

Ch Chapter 13 Additional Topics

Dana Kelly and Curtis Smith

Ch Chapter 2 Introduction to Bayesian Inference

Dana Kelly and Curtis Smith

Ch Chapter 3 Bayesian Inference for Common Aleatory Models

Dana Kelly and Curtis Smith

Ch Chapter 4 Bayesian Model Checking

Dana Kelly and Curtis Smith

Ch Chapter 5 Time Trends for Binomial and Poisson Data

Dana Kelly and Curtis Smith

Ch Chapter 6 Checking Convergence to Posterior Distribution

Dana Kelly and Curtis Smith

Ch Chapter 7 Hierarchical Bayes Models for Variability

Dana Kelly and Curtis Smith

Ch Chapter 8 More Complex Models for Random Durations

Dana Kelly and Curtis Smith

Ch Chapter 9 Modeling Failure with Repair

Dana Kelly and Curtis Smith

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DOI: 10.1007/978-1-84996-187-5

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