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Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape
As statistical approaches are getting increasingly used in linguistics, attention must be paid to the choice of methods and algorithms used. This is especially true since they require assumptions to be satisfied to provide valid results, and because scientific articles still often fall short of repo...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5911484/ https://www.ncbi.nlm.nih.gov/pubmed/29713298 http://dx.doi.org/10.3389/fpsyg.2018.00513 |