• Medientyp: E-Book
  • Titel: Handbook of Uncertainty Quantification
  • Beteiligte: Ghanem, Roger [HerausgeberIn]; Higdon, David [HerausgeberIn]; Owhadi, Houman [HerausgeberIn]
  • Erschienen: Cham: Springer, [2017]
  • Erschienen in: Springer Nature Living Reference ; Mathematics and Statistics
    Springer eBook Collection
  • Umfang: 1 Online-Ressource (1000 Seiten); Illustrationen, Diagramme
  • Sprache: Englisch
  • DOI: 10.1007/978-3-319-11259-6
  • ISBN: 9783319112596
  • Identifikator:
  • Schlagwörter: Distribution (Probability theory ; Probability Theory and Stochastic Processes ; Engineering mathematics ; Statistics ; Engineering mathematics. ; Statistics . ; Probabilities. ; Applied mathematics.
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: The topic of Uncertainty Quantification (UQ) has witnessed massive developments in response to the promise of achieving risk mitigation through scientific prediction. It has led to the integration of ideas from mathematics, statistics and engineering being used to lend credence to predictive assessments of risk but also to design actions (by engineers, scientists and investors) that are consistent with risk aversion. The objective of this Handbook is to facilitate the dissemination of the forefront of UQ ideas to their audiences. We recognize that these audiences are varied, with interests ranging from theory to application, and from research to development and even execution