Statistical Methods for the Reliability of Repairable Systems

STEVEN E. RIGDON, PhD, is Professor of Statistics at Southern Illinois University Edwardsville. ASIT P. BASU, PhD, is Professor of Statistics at the University of Missouri Columbia.

"This new book does a fantastic job of giving detailed coverage and practical illustration to repairable systems reliability..." (Technometrics, Vol. 42, No. 4, May 2001) "Intended for engineers, quality managers and statisticians, this book could also be used for a graduate level course in reliability." (Short Book Reviews, Vol. 21, No. 2, August 2001) "...a thorough and systematic presentation..." (La Doc Sti, September 2000) "...a comprehensive presentation of materials associated with reliability of repairable systems..." (Journal of Quality Technology, Vol. 33, No. 4, October 2001) "Most of the literature in reliability deals with modelling and estimation in non-repairable systems; however this book considers repairable systems only." (Zentralblatt MATH, Vol. 963, 2001/13) "...will be found useful by academicians as well as by practitioners." (Mathematical Reviews, 2002b) "...an excellent resource and textbook a book that will contribute to filling an existing need in the reliability area and will further motivate researchers to look into developing statistical methods appropriate for data from repairable systems..." (Journal of the American Statistical Association, Vol. 97, No. 458, June 2002)

• Terminology and Notation for Repairable Systems. Probabilistic Models: The Poisson Process. Probabilistic Models: Renewal and Other Processes. Analyzing Data from a Single Repairable System. Analyzing Data from Multiple Repairable Systems. Appendix. References.