- A wealth of information and procedures developed to give products a competitive edge
- Simple examples of data analysis computed with the S–PLUS system?for which a suite of functions and commands is available over the Internet
- End–of–chapter, real–data exercise sets
- Hundreds of computer graphics illustrating data, results of analyses, and technical concepts
An essential resource for practitioners involved in product reliability and design decisions, Statistical Methods for Reliability Data is also an excellent textbook for on–the–job training courses, and for university courses on applied reliability data analysis at the graduate level.
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Statistical Methods for Reliability Data was among those chosen.
Reliability Concepts and Reliability Data.
Other Parametric Distributions.
Bootstrap Confidence Intervals.
Planning Life Tests.
Degradation Data, Models, and Data Analysis.
Introduction to the Use of Bayesian Methods for Reliability Data.
Failure–Time Regression Analysis.
Accelerated Test Models.
Accelerated Life Tests.
Case Studies and Further Applications.