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Mathematical Reliability: An Expository Perspective

  • Refik Soyer
  • Thomas A. Mazzuchi
  • Nozer D. Singpurwalla

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 67)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Networks and Systems

    1. Front Matter
      Pages 1-1
    2. Philip J. Boland, Francisco J. Samaniego
      Pages 3-30
    3. Way Kuo, Rajendra Prasad
      Pages 31-54
    4. Andrew W. Swift
      Pages 55-68
  3. Recurrent Events

    1. Front Matter
      Pages 69-69
    2. Kjell A. Doksum, Lancelot F. James
      Pages 87-103
    3. Edsel A. Peña, Myles Hollander
      Pages 105-123
  4. Information and Design

    1. Front Matter
      Pages 125-125
    2. Nader Ebrahimi, Ehsan S. Soofi
      Pages 127-159
    3. Vijay N. Nair, Luis A. Escobar, Michael S. Hamada
      Pages 161-182
    4. Alyson G. Wilson, C. Shane Reese, Michael S. Hamada, Harry F. Martz
      Pages 183-194
  5. The Failure Rate Function and Burn-In

    1. Front Matter
      Pages 195-195
    2. Henry W. Block, Thomas H. Savits
      Pages 197-206
  6. Software Reliability and Random Environments

    1. Front Matter
      Pages 231-231
    2. Süleyman Özekici, Refik Soyer
      Pages 249-273
  7. Reliability in Composites and Orthopedics

    1. Front Matter
      Pages 275-275
    2. Simon P. Wilson
      Pages 291-299
  8. Reliability in Finance and Forensics

    1. Front Matter
      Pages 301-301
    2. Nicholas James Lynn
      Pages 303-316
    3. Nozer D. Singpurwalla
      Pages 317-333
  9. Back Matter
    Pages 335-335

About this book

Introduction

In this volume consideration was given to more advanced theoretical approaches and novel applications of reliability to ensure that topics having a futuristic impact were specifically included. Topics like finance, forensics, information, and orthopedics, as well as the more traditional reliability topics were purposefully undertaken to make this collection different from the existing books in reliability. The entries have been categorized into seven parts, each emphasizing a theme that seems poised for the future development of reliability as an academic discipline with relevance. The seven parts are networks and systems; recurrent events; information and design; failure rate function and burn-in; software reliability and random environments; reliability in composites and orthopedics, and reliability in finance and forensics. Embedded within the above are some of the other currently active topics such as causality, cascading, exchangeability, expert testimony, hierarchical modeling, optimization and survival analysis. These topics, when linked with utility theory, constitute the science base of risk analysis.

Keywords

Survival analysis calculus modeling optimization reliability risk analysis

Editors and affiliations

  • Refik Soyer
    • 1
  • Thomas A. Mazzuchi
    • 2
  • Nozer D. Singpurwalla
    • 3
  1. 1.Department of Management ScienceThe George Washington UniversityWashington, DCUSA
  2. 2.Department of Engineering Management and Systems EngineeringThe George Washington UniversityWashington, DCUSA
  3. 3.Department of StatisticsThe George Washington UniversityWashington, DCUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-9021-1
  • Copyright Information Springer Science+Business Media New York 2004
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-4760-6
  • Online ISBN 978-1-4419-9021-1
  • Series Print ISSN 0884-8289
  • Buy this book on publisher's site