Bayesian Inference for Probabilistic Risk Assessment: A Practitioner’s Guidebook

Dana Kelly, Curtis Smith

Buku ini diterbitkan oleh Springer-Verlag London Limited  tahun  2011. Cakupan 230 halaman.

Daftar isi:

1. Introduction and Motivation, 1
2. Introduction to Bayesian Inference, 7
3. Bayesian Inference for Common Aleatory Models, 15
4. Bayesian Model Checking, 39
5. Time  Trends  f o r   Binomial  and Poisson Data, 51
6. Checking Convergence  t o  Posterior Dis-tribution, 61
7. Hierarchical  Bayes  Models   f o r  Varia-bility, 67
8. More Complex Models for Random Dura-tions, 89
9. Modeling Failure with Repair, 111
10. Bayesian Treatment of Uncertain Data, 123
11. Bayesian Regression Models, 141
12. Bayesian Inference  f o r  Multilevel Fault Tree Models, 165
13. Additional Topics, 177

Appendix A: Probability Distributions, 201

Appendix B: Guidance for Using OpenBUGS, 217

Index, 223

 

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