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: Experimentation, validation, and uncertainty analysis for engineers
  title info:
    title: Experimentation and uncertainty analysis for engineers
  name:
    name part: Coleman, Hugh W.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Steele, W. Glenn
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: nju
    date issued: 2018
    edition: Fourth edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvi, 368 pages.)
  abstract: Helps engineers and scientists assess and manage uncertainty at all stages of experimentation and validation of simulations Fully updated from its previous edition, Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes expanded coverage and new examples of applying the Monte Carlo Method (MCM) in performing uncertainty analyses. Presenting the current, internationally accepted methodology from ISO, ANSI, and ASME standards for propagating uncertainties using both the MCM and the Taylor Series Method (TSM), it provides a logical approach to experimentation and validation through the application of uncertainty analysis in the planning, design, construction, debugging, execution, data analysis, and reporting phases of experimental and validation programs. It also illustrates how to use a spreadsheet approach to apply the MCM and the TSM, based on the authors' experience in applying uncertainty analysis in complex, large-scale testing of real engineering systems. Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes examples throughout, contains end of chapter problems, and is accompanied by the authors' website www.uncertainty-analysis.com. Guides readers through all aspects of experimentation, validation, and uncertainty analysis Emphasizes the use of the Monte Carlo Method in performing uncertainty analysis Includes complete new examples throughout Features workable problems at the end of chapters Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition is an ideal text and guide for researchers, engineers, and graduate and senior undergraduate students in engineering and science disciplines. Knowledge of the material in this Fourth Edition is a must for those involved in executing or managing experimental programs or validating models and simulations.
  note: Hugh W. Coleman and W. Glenn Steele.
  note: First edition entitled: Experimentation and uncertainty analysis for engineers.
  note: Includes bibliographical references and index.
  subject:
    topic: Engineering
    topic: Experiments
  subject:
    topic: Uncertainty
  classification: TA153 .C66 2018
  classification: 620.0072
  related item:
    title info:
      title: Experimentation, validation, and uncertainty analysis for engineers
    name:
      name part: Coleman, Hugh W., author.
    origin info:
      publisher: Hoboken, NJ, USA : Wiley, [2018]
      edition: Fourth edition.
    identifier: (DLC) 2017056271
  related item:
    identifier: (DLC) 2017055307
  identifier: 9781119417989 (electronic bk.)
  identifier: 1119417988 (electronic bk.)
  identifier: 9781119417514
  identifier: 1119417511
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 260209
    record change date: 20260215000843.0
    record identifier: in00005690176
    language of cataloging:
      language term: eng