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A measure of stability as a criterion for the verification and analysis of simulation models

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dc.creator Monleón Getino, Toni
dc.creator Ruiz de Villa, Carmen
dc.creator Ocaña i Rebull, Jordi
dc.date 2010-04-20T11:14:46Z
dc.date 2010-04-20T11:14:46Z
dc.date 2010
dc.date.accessioned 2024-12-16T10:22:59Z
dc.date.available 2024-12-16T10:22:59Z
dc.identifier http://hdl.handle.net/2445/12194
dc.identifier.uri http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/15219
dc.description The aim of this study is to define a new statistic, PVL, based on the relative distance between the likelihood associated with the simulation replications and the likelihood of the conceptual model. Our results coming from several simulation experiments of a clinical trial show that the PVL statistic range can be a good measure of stability to establish when a computational model verifies the underlying conceptual model. PVL improves also the analysis of simulation replications because only one statistic is associated with all the simulation replications. As well it presents several verification scenarios, obtained by altering the simulation model, that show the usefulness of PVL. Further simulation experiments suggest that a 0 to 20 % range may define adequate limits for the verification problem, if considered from the viewpoint of an equivalence test.
dc.format 30 p.
dc.format application/pdf
dc.language eng
dc.rights cc-by-nc-nd, (c) Monleon et al., 2010
dc.rights http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights info:eu-repo/semantics/openAccess
dc.source Documents de treball / Informes (Genètica, Microbiologia i Estadística)
dc.subject Simulació per ordinador
dc.subject Models matemàtics
dc.subject Mètodes estadístics
dc.subject Assaigs clínics
dc.subject Computer simulation
dc.subject Mathematical models
dc.subject Statistical methods
dc.subject Clinical trials
dc.title A measure of stability as a criterion for the verification and analysis of simulation models
dc.type info:eu-repo/semantics/workingPaper


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