Statistical Methods for the Reliability of Repairable Systems

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.

Liberally supplemented with examples as well as exercises boasting
real data, the book clearly explains the difference between
repairable and nonrepairable systems and helps readers develop an
understanding of stochastic point processes. Data analysis methods
are discussed for both single and multiple systems and include
graphical methods, point estimation, interval estimation,
hypothesis tests, goodness-of-fit tests, and reliability
prediction. Complete with extensive graphs, tables, and references,
Statistical Methods for the Reliability of Repairable Systems is an
excellent working resource for industry professionals involved in
producing reliable systems and a handy reference for practitioners
and researchers in the field.