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Approximation Methods for High Dimensional Simulation Results - Parameter Sensitivity Analysis and Propagation of variations for Process Chains

Steffes-lai, Daniela (2014) Approximation Methods for High Dimensional Simulation Results - Parameter Sensitivity Analysis and Propagation of variations for Process Chains. [Thesis Abstract]

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      Item Type: Thesis Abstract
      Creators:
      CreatorsEmail
      Steffes-lai, Daniela
      URN: urn:nbn:de:hbz:38-55557
      Publisher: Logos Verlag Berlin
      ISBN: 978-3-8325-3696-1
      Subjects: Data processing Computer science
      General statistics
      Mathematics
      Technology (Applied sciences)
      Uncontrolled Keywords:
      KeywordsLanguage
      process chainsEnglish
      robust designEnglish
      multidimensional interpolationEnglish
      parameter sensitivity analysisEnglish
      statisticsEnglish
      Faculty: Mathematisch-Naturwissenschaftliche Fakultät
      Divisions: Mathematisch-Naturwissenschaftliche Fakultät > Mathematisches Institut
      Language: English
      Date: 2014
      Date Type: Publication
      Date of oral exam: 15 January 2014
      Full Text Status: Public
      Date Deposited: 27 Jun 2014 14:17:39
      URI: http://kups.ub.uni-koeln.de/id/eprint/5555

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