Published
2009-01-01
CRITERIOS DE OPTIMALIDAD PARA LOS MODELOS CON EFECTOS ALEATORIOS
OPTIMALITY CRITERIA FOR MODELS WITH RANDOM EFFECTS
Keywords:
diseño óptimo, matrix informativa, parámetros molestos, estructura de covarianza, modelo mixto (es)Optimal design, Information matrix, Nuisance parameter, Covariance structure, Mixed model (en)
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En el contexto de modelos lineales, los criterios de optimalidad se construyen para los modelos que incluyen efectos aleatorios. Tradicionalmente los criterios basados en la información asumen que todos los efectos en el modelo se consideran fijos. Cuando los parámetros, tratamientos o molestias son considerados efectos aleatorios, un criterio adecuado de optimalidad se puede desarrollar en las mismas condiciones. En este trabajo se introduce ese criterio, que permite la inclusión en el modelo de parámetros que representan molestias fijas o al azar, además de una estructura general de covarianza. También, se presenta una fórmula general para la cual en todos los casos publicados anteriormente, los criterios de optimalidad son casos especiales.
In the context of linear models, an optimality criterion is developed for models that include random effects. Traditional information-based criteria are premised on all model effects being regarded as fixed. When treatments and/or nuisance parameters are assumed to be random effects, an appropriate optimality criterion can be developed under the same conditions. This paper introduces such a criterion, and this criterion also allows for the inclusion of fixed and/or random nuisance parameters in the model and for the presence of a general covariance structure. Also, a general formula is presented for which all previously published optimality criteria are special cases.
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How to Cite
Hooks, T., Marx, D., Kachman, S., & Pedersen, J. (2009). OPTIMALITY CRITERIA FOR MODELS WITH RANDOM EFFECTS. Revista Colombiana De Estadística, 32(1), 17-31. https://revistas.unal.edu.co/index.php/estad/article/view/29751
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Copyright (c) 2009 Revista Colombiana de Estadística

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