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Recent developments in maximum likelihood estimation of MTMM models for categorical data
Maximum likelihood (ML) estimation of categorical multitrait-multimethod (MTMM) data is challenging because the likelihood involves high-dimensional integrals over the crossed method and trait factors, with no known closed-form solution. The purpose of the study is to introduce three newly developed...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3986544/ https://www.ncbi.nlm.nih.gov/pubmed/24782791 http://dx.doi.org/10.3389/fpsyg.2014.00269 |