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dc.contributor.authorGrønneberg, Steffen
dc.contributor.authorFoldnes, Njål
dc.date.accessioned2017-12-14T11:21:01Z
dc.date.available2017-12-14T11:21:01Z
dc.date.created2017-06-13T22:15:24Z
dc.date.issued2017
dc.identifier.citationPsychometrika. 2017, 82(4), 1035-1051nb_NO
dc.identifier.issn0033-3123
dc.identifier.issn1860-0980
dc.identifier.urihttp://hdl.handle.net/11250/2471709
dc.descriptionThe accepted and peer reviewed manuscript to the articlenb_NO
dc.description.abstractWe propose a new and flexible simulation method for non-normal data with user-specified marginal distributions, covariance matrix and certain bivariate dependencies. The VITA (VIne To Anything) method is based on regular vines and generalizes the NORTA (NORmal To Anything) method. Fundamental theoretical properties of the VITA method are deduced. Two illustrations demonstrate the flexibility and usefulness of VITA in the context of structural equation models. R code for the implementation is provided.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringernb_NO
dc.titleCovariance Model Simulation Using Regular Vinesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.journalPsychometrikanb_NO
dc.identifier.doi10.1007/s11336-017-9569-6
dc.identifier.cristin1475876
dc.description.localcode2, Forfatterversjonnb_NO
cristin.unitcode158,3,0,0
cristin.unitnameInstitutt for samfunnsøkonomi
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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