Series on Quality, Reliability and Engineering Statistics - Vol. 10
MODERN STATISTICAL AND MATHEMATICAL METHODS IN RELIABILITY
by Alyson Wilson (Los Alamos National Laboratory, USA), Nikolaos Limnios (Université de Technologie de Compiègne, France), Sallie Keller-McNulty & Yvonne Armijo (Los Alamos National Laboratory, USA)
Contents (141k) Preface (96k) Chapter 1: Competing Risk Modeling in Reliability (314k)
This volume contains extended versions of 28 carefully selected and reviewed papers presented at The Fourth International Conference on Mathematical Methods in Reliability in Santa Fe, New Mexico, June 21–25, 2004, the leading conference in reliability research. The meeting serves as a forum for discussing fundamental issues on mathematical methods in reliability theory and its applications.
A broad overview of current research activities in reliability theory and its applications is provided with coverage on reliability modeling, network and system reliability, Bayesian methods, survival analysis, degradation and maintenance modeling, and software reliability. The contributors are all leading experts in the field and include the plenary session speakers, Tim Bedford, Thierry Duchesne, Henry Wynn, Vicki Bier, Edsel Pena, Michael Hamada, and Todd Graves.
Contents:
- Competing Risk Modeling in Reliability (T Bedford)
- Game-Theoretic
and Reliability Methods in Counter-Terrorism and Security (V Bier)
- Regression Models for Reliability Given the Usage Accumulation History (T Duchesne)
- Bayesian Methods for Assessing System Reliability: Models and Computation (T Graves & M Hamada)
- Dynamic Modeling in Reliability and Survival Analysis (E A Peña & E Slate)
- End of Life Analysis (H Wynn et al.)
- and other papers
Readership: Graduate students and academics in probability & statistics,
reliability, and survival analysis, industrial & software engineering, operations and applied mathematics research.
“It offers extensive coverage and important insights into recent innovations in the field of reliability and related advances in statistical methods. This reviewer recommends this book as a key tool for researchers, engineers, students, teachers, and practitioners interested in keeping current with the latest developments in reliability engineering.”
| International Journal of Performability Engineering |
| 428pp |
Pub. date: Oct 2005 |
|