rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Mathematical Reliability: An Expository Perspective
  name:
    name part: Soyer, Refik.
    role:
      role term: creator
  name:
    name part: Mazzuchi, Thomas A.
  name:
    name part: Singpurwalla, Nozer D.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xxu
    date issued: 2004
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xxi, 333 pages)
  abstract: 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.
  note: edited by Refik Soyer, Thomas A. Mazzuchi, Nozer D. Singpurwalla.
  note: Electronic resource.
  subject:
    topic: Mathematics
  subject:
    topic: Distribution (Probability theory)
  subject:
    topic: Statistics
  subject:
    topic: System safety
  subject:
    topic: Operations research
  subject:
    topic: Distribution (Probability theory)
  subject:
    topic: Mathematics
  subject:
    topic: Operations research
  subject:
    topic: Statistics
  subject:
    topic: System safety
  classification: QA273.A1-274.9
  classification: QA274-274.9
  classification: 519.2
  related item:
    title info:
      title: International series in operations research & management science ; 67
  identifier: 9781441990211 (electronic bk.)
  identifier: 1441990216 (electronic bk.)
  identifier: 9781461347606
  identifier: 1461347602
  identifier: 1441990216
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 121227
    record change date: 20260422225740.7
    record identifier: in00003569257
    language of cataloging:
      language term: eng