Selection of Morris Trajectories for Initial Sensitivity Analysis
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The Morris method of initial sensitivity analysis of large models varies factors singly along a few trajectories. Its nominally uniform coverage of the factors may deviate greatly from uniform in such small samples. Campolongo et al. suggest selecting a subset of trajectories from a large set, to maximise their spread. Ways to reduce the computing demand of this procedure are examined, including alternative distance measures and two-stage selection. An example with more economical selection is...[Show more]
dc.contributor.author | Norton, John | |
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dc.coverage.spatial | Saint-Malo France | |
dc.date.accessioned | 2015-12-10T22:41:27Z | |
dc.date.created | July 6-8 2009 | |
dc.identifier.isbn | 1474-6670 | |
dc.identifier.uri | http://hdl.handle.net/1885/57915 | |
dc.description.abstract | The Morris method of initial sensitivity analysis of large models varies factors singly along a few trajectories. Its nominally uniform coverage of the factors may deviate greatly from uniform in such small samples. Campolongo et al. suggest selecting a subset of trajectories from a large set, to maximise their spread. Ways to reduce the computing demand of this procedure are examined, including alternative distance measures and two-stage selection. An example with more economical selection is used to investigate how the factors' marginal distributions deviate from uniform on trajectories selected by spread or by the number of factors whose values differ between trajectories. | |
dc.publisher | International Federation of Automatic Control (IFAC) | |
dc.relation.ispartofseries | International Federation of Automatic Control Symposium on System Indentification (SYSID 2009) | |
dc.source | Preprints of the 15th IFAC Symposium on System Identification | |
dc.subject | Keywords: Computing demands; Distance measure; Marginal distribution; Morris method; Parametric variation; Perturbed coefficients; Small samples; Two stage; Uniform coverage; Validation; Image segmentation; Trajectories; Sensitivity analysis Parametric variation; Perturbed coefficients; Sensitivity analysis; Validation | |
dc.title | Selection of Morris Trajectories for Initial Sensitivity Analysis | |
dc.type | Conference paper | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
dc.date.issued | 2009 | |
local.identifier.absfor | 080110 - Simulation and Modelling | |
local.identifier.ariespublication | U4279067xPUB420 | |
local.type.status | Published Version | |
local.contributor.affiliation | Norton, John, College of Medicine, Biology and Environment, ANU | |
local.description.embargo | 2037-12-31 | |
local.bibliographicCitation.startpage | 670 | |
local.bibliographicCitation.lastpage | 674 | |
local.identifier.doi | 10.3182/20090706-3-FR-2004.0431 | |
dc.date.updated | 2016-02-24T10:51:06Z | |
local.identifier.scopusID | 2-s2.0-80051656296 | |
Collections | ANU Research Publications |
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