Regression-based approaches for simulation meta-modelling in the presence of heterogeneity and correlation

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Publisher:: Modelling and Simulation Society of Australia and New Zealand
Publication Type:: Conference Proceeding
Citation:: MODSIM2021, 24th International Congress on Modelling and Simulation., 2021
Issue Date:: 2021-12-16

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Field	Value	Language
dc.date.accessioned	2023-04-07T12:05:04Z
dc.date.available	2023-04-07T12:05:04Z
dc.date.issued	2021-12-16
dc.identifier.citation	MODSIM2021, 24th International Congress on Modelling and Simulation., 2021
dc.identifier.uri	http://hdl.handle.net/10453/169376
dc.language	en
dc.publisher	Modelling and Simulation Society of Australia and New Zealand
dc.relation.ispartof	MODSIM2021, 24th International Congress on Modelling and Simulation.
dc.relation.ispartof	MODSIM2021, 24th International Congress on Modelling and Simulation.
dc.relation.isbasedon	10.36334/modsim.2021.m5.garces
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Regression-based approaches for simulation meta-modelling in the presence of heterogeneity and correlation
dc.type	Conference Proceeding
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-07T12:05:02Z
pubs.publication-status	Published

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