Titlebook: Bayesian Reliability; Michael S. Hamada,Alyson G. Wilson,Harry F. Martz Book 2008 Springer-Verlag New York 2008 Assurance testing.Bayesian

outset

hazard

Spinous-Process

HILAR

Nutrition, Mental Development and LearningThis chapter shows how to incorporate covariates in the analysis of binomial success/failure data, Poisson count data, and lifetime data. Covariates allow us to compare the reliability between two or more different situations. We also discuss how covariates arise in accelerated life testing and in experiments to improve reliability.

Banquet

Growth Hormone and Osteoporosiseds a specified requirement at a desired level of confidence. Within a Bayesian hierarchical framework, this chapter determines test plans for binomial, Poisson, and Weibull testing. Also, we develop Weibull assurance test plans using available data from an associated accelerated life testing program.

ANTIC

Extricate

TAP

0172-7397 n perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational tools for implementing Bayesian methods...The author

arthrodesis

貪婪性

Advanced Bayesian Modeling and Computational Methods,ithms that can be used to generate samples from intractable posterior distributions. These samples provide the basis for subsequent model inference. We also discuss empirical Bayes’ methods. Finally, we describe techniques for assessing the sensitivity of model inferences to prior assumptions and a broadly applicable model diagnostic.