With manufactured products exploding in number and complexity, reliabillity studies play an increasingly critical role throughout a product's entire life cycle-from design to post-sale support. Reliability: Modeling, Prediction, and Optimization presents a remarkably broad framework for the analysis of the technical and commercial aspects of product reliability, integrating concepts and methodologies from such diverse areas as engineering, materials science, statistics, probability, operations research, and management. Written in plain language by two highly respected experts in the field, this practical work provides engineers, operations managers, and applied statisticians with both qualitative and quantitive tools for solving a variety of complex, real-world reliability problems.

1. An Overview
2. Illustrative Cases and Data Sets
3. Collection and Preliminary Analysis of Failure Data
4. Probability Distributions for Modeling Time to Failure
5. Basic Statistical Methods for Data Analysis
6. Modeling Failures at the Component Level
7. Modeling and Analysis of Multicomponent Systems
8. Adanced Statistical Methods for Data Analysis
9. Software Reliabillty
10. Design of Experiments and Analysis of Variance
etc.

Wiley Series in Probability and Statistics