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Confidence, prediction, and tolerance in linear mixed models
The literature about Prediction Interval (PI) and Tolerance Interval (TI) in linear mixed models is usually developed for specific designs, which is a main limitation to their use. This paper proposes to reformulate the two‐sided PI to be generalizable under a wide variety of designs (one random fac...
Autores principales: | Francq, Bernard G., Lin, Dan, Hoyer, Walter |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6916346/ https://www.ncbi.nlm.nih.gov/pubmed/31659784 http://dx.doi.org/10.1002/sim.8386 |
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