Bayesian Reliability

• Main Authors: Hamada, Michael S. (Author), Wilson, Alyson G. (Author), Reese, C. Shane (Author), Martz, Harry F. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2008.
• Series: Springer Series in Statistics,
• Subjects: Mathematics.; Probabilities.; Statistics.; Quality control.; Reliability.; Industrial safety.; Probability Theory and Stochastic Processes.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Quality Control, Reliability, Safety and Risk.; Statistical Theory and Methods.

Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian 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 large...

Table of Contents:

• Reliability Concepts
• Bayesian Inference
• Advanced Bayesian Modeling and Computational Methods
• Component Reliability
• System Reliability
• Repairable System Reliability
• Regression Models in Reliability
• Using Degradation Data to Assess Reliability
• Planning for Reliability Data Collection
• Assurance Testing.