Efficient tools for global sensitivity analysis based on high-dimensional model representation

Ziehn, T and Tomlin, AS orcid.org/0000-0001-6621-9492 (2017) Efficient tools for global sensitivity analysis based on high-dimensional model representation. In: Petropoulos, GP and Srivastava, PK, (eds.) Sensitivity Analysis in Earth Observation Modelling. Elsevier , Kidlington, Oxford, UK , pp. 297-318. ISBN 978-0-12-803011-0

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Authors/Creators:
Keywords: HDMR; Importance ranking; Nonlinear; Sensitivity analysis; Uncertainty; Variance
Dates:
  • Published: 2017
  • Published (online): 14 October 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Chemical & Process Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 13 Nov 2017 16:34
Last Modified: 13 Nov 2017 16:34
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/B978-0-12-803011-0.00015-X

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