Practical Methods for Reliability Data Analysis [Hardcover]

This practical introduction to the analysis of data collected from reliability studies offers clear, detailed explanations of the best and most up-to-date techniques available. Topics include survival analysis with covariates, the assessment of systems performance, reliability growth models, dependency (which encompasses both engineering and statistical approaches), and practical aspects of analysis. A wealth of interesting case studies appear throughout the text, lending real-world examples to the more theoretical discussions. Throughout, the authors stress the need for investigators to understand the background and nature of their data if they are to select the most appropriate analysis method. They also provide in-depth treatments of the mathematical and statistical bases underlying each technique. Accessible and comprehensive, the book will be welcomed by students, professionals, and statisticians who are interested in the practical aspects of reliability data analysis.

1. Introduction to Reliability
2. Lifetime Distributions
3. Analysis of Lifetimes with Covariates
4. System Reliability
5. Stochastic Models for Repairable Systems
6. Analysis of Repairable Systems
7. Growth and Adaptive Models
8. Dependency Analysis
9. Practical Aspects of Reliability Data Analysis
10. Case Studies in Reliability
Bibliography
Index

The book is rich on content, and the methods are illustrated using good practical examples. As such, the book should definitely be worth considering as a textbook for any college or industrial course on reliability. --Technometrics

As an overall assessment, this is a well-written, logically organized text that can be recommended to the serious reliability engineer. In a relatively compact amount of space, the authors deal in sufficient detail with topics typically presented in a graduate level reliability and life testing course. --Journal of Quality Technology