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Statistical Methods for the Reliability of Repairable Systems |
| Steven E. Rigdon (Southern Illinois University); Asit P. Basu (University of Michigan) |
| A unique, practical guide for industry professionals who need to improve product quality and reliability in repairable systems
Owing to its vital role in product quality, reliability has been intensely studied in recent decades. Most of this research, however, addresses systems that are nonrepairable and therefore discarded upon failure. Statistical Methods for the Reliability of Repairable Systems fills the gap in the field, focusing exclusively on an important yet long-neglected area of reliability. Written by two highly recognized members of the reliability and statistics community, this new work offers a unique, systematic treatment of probabilistic models used for repairable systems as well as the statistical methods for analyzing data generated from them. < | | |
