Non-normal Data Simulation using Piecewise Linear Transforms

dc.contributor.author	Foldnes, Njål
dc.contributor.author	Grønneberg, Steffen
dc.date.accessioned	2023-01-18T09:26:23Z
dc.date.available	2023-01-18T09:26:23Z
dc.date.created	2021-08-03T11:14:39Z
dc.date.issued	2021
dc.identifier.issn	1070-5511
dc.identifier.uri	https://hdl.handle.net/11250/3044207
dc.description.abstract	We present PLSIM, a new method for generating nonnormal data with a pre-specified covariance matrix that is based on coordinate-wise piecewise linear transformations of standard normal variables. In our presentation, the piecewise linear transforms are chosen to match pre-specified skewness and kurtosis values for each marginal distribution. We demonstrate the flexibility of the new method, and an implementation using R software is provided.	en_US
dc.language.iso	eng	en_US
dc.publisher	Taylor & Francis	en_US
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no	*
dc.subject	simulation	en_US
dc.subject	non-normal data	en_US
dc.subject	kurtosis	en_US
dc.subject	sem simulation	en_US
dc.title	Non-normal Data Simulation using Piecewise Linear Transforms	en_US
dc.type	Peer reviewed	en_US
dc.type	Journal article	en_US
dc.description.version	publishedVersion	en_US
dc.source.volume	29	en_US
dc.source.journal	Structural Equation Modeling	en_US
dc.source.issue	1	en_US
dc.identifier.doi	10.1080/10705511.2021.1949323
dc.identifier.cristin	1923611
cristin.ispublished	true
cristin.qualitycode	2

Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal