By Michael S. Hamada,Alyson Wilson,C. Shane Reese,Harry Martz
Bayesian Reliability offers glossy equipment and methods for reading reliability information from a Bayesian standpoint. The adoption and alertness of Bayesian equipment in almost all branches of technological know-how and engineering have considerably elevated during the last few many years. This bring up is basically because of advances in simulation-based computational instruments for enforcing Bayesian methods.
The authors widely use such instruments all through this ebook, targeting assessing the reliability of elements and structures with specific cognizance to hierarchical versions and types incorporating explanatory variables. Such versions contain failure time regression versions, speeded up checking out types, and degradation types. The authors pay unique cognizance to Bayesian goodness-of-fit trying out, version validation, reliability try layout, and coverage attempt making plans. during the booklet, the authors use Markov chain Monte Carlo (MCMC) algorithms for enforcing Bayesian analyses -- algorithms that make the Bayesian method of reliability computationally possible and conceptually straightforward.
This e-book is essentially a reference number of sleek Bayesian tools in reliability to be used via reliability practitioners. There are greater than 70 illustrative examples, such a lot of which make the most of real-world info. This ebook is additionally used as a textbook for a path in reliability and includes greater than a hundred and sixty exercises.
Noteworthy highlights of the e-book contain Bayesian ways for the following:
- Goodness-of-fit and version choice methods
- Hierarchical types for reliability estimation
- Fault tree research technique that helps info acquisition in any respect degrees within the tree
- Bayesian networks in reliability analysis
- Analysis of failure count number and failure time facts accumulated from repairable platforms, and the review of assorted comparable functionality criteria
- Analysis of nondestructive and harmful degradation data
- Optimal layout of reliability experiments
- Hierarchical reliability insurance testing
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Extra info for Bayesian Reliability (Springer Series in Statistics)
Bayesian Reliability (Springer Series in Statistics) by Michael S. Hamada,Alyson Wilson,C. Shane Reese,Harry Martz