dc.contributor.author | Foldnes, Njål | |
dc.contributor.author | Grønneberg, Steffen | |
dc.date.accessioned | 2023-02-22T11:16:17Z | |
dc.date.available | 2023-02-22T11:16:17Z | |
dc.date.created | 2021-08-03T11:14:39Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Foldnes, N., & Grønneberg, S. (2022). Non-normal data simulation using piecewise linear transforms. Structural Equation Modeling: A Multidisciplinary Journal, 29(1), 36-46. | en_US |
dc.identifier.issn | 1070-5511 | |
dc.identifier.uri | https://hdl.handle.net/11250/3053188 | |
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 | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
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.rights.holder | The authors | en_US |
dc.subject.nsi | VDP::Teknologi: 500 | en_US |
dc.source.pagenumber | 11 | en_US |
dc.source.journal | Structural Equation Modeling | en_US |
dc.identifier.doi | 10.1080/10705511.2021.1949323 | |
dc.identifier.cristin | 1923611 | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |