Description

Book Synopsis
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.

Trade Review
"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)

Table of Contents
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.

Repairable Systems 354 Wiley Series in

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£136.76

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RRP £151.95 – you save £15.19 (9%)

Order before 4pm today for delivery by Sat 20 Dec 2025.

A Hardback by Steven E. Rigdon, Asit P. Basu

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    View other formats and editions of Repairable Systems 354 Wiley Series in by Steven E. Rigdon

    Publisher: John Wiley & Sons Inc
    Publication Date: 23/05/2000
    ISBN13: 9780471349419, 978-0471349419
    ISBN10: 0471349410

    Description

    Book Synopsis
    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.

    Trade Review
    "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)

    Table of Contents
    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.

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