A LINEAR MIXED MODEL APPROACH TO BUILD A ...

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FROM CHANGE POINTS. Ehidy Karime Garcia Cruz - National University of Colombia (Colombia) [presenting]. Juan Carlos Correa Morales - National ...
A LINEAR MIXED MODEL APPROACH TO BUILD A CALIBRATION FUNCTION FROM CHANGE POINTS Ehidy Karime Garcia Cruz - National University of Colombia (Colombia) [presenting] Juan Carlos Correa Morales - National University of Colombia (Colombia) Juan Carlos Salazar Uribe - National University of Colombia (Colombia)

Keywords: computational methods,mixed models,parametric estimation,regression models Abstract: Linear Mixed Models have been widely studied for important authors. However, the specific approach to estimate change points subject-specific has not been worked so specifically. We present an alternative methodology to build a calibration function from change points estimated using LMMs for modeling the fixed effects and predict the random effects for each subject in a longitudinal study. The change points were estimated using evolutionary algorithms. The calibration (reverse regression) function was built under a parametric approach and it is useful to predict a change point over the time. This predicted tˆ will allow to minimize an specific loss function, usually associated with the storage expenses for an specific product. The methodology will be illustrated using a real data set about dried cypress wood slats.

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