Application of GAMLSS and longitudinal models in clones of Eucalyptus spp., at the Gypsum Pole of Araripe-PE
forest experimentation; flexible models; smoothing.
In this work, it is presentes the main characteristics of the Generalized Additive Models for Location, Scale, and Shape (GAMLSS), estimation techniques, inference, and prediction, bringing succinctly on the distributions and terms of additives, and finally the diagnosis of residuals, and the tools of selection of the models. The flexibility of the class allows adjusting all the parameters of distribution according to the explanatory variables. GAMLSS has a wide list of distributions for the response variable allowing to integrate of smoothing functions and providing flexible models suitable to distinguish reality well. The objective is to shows how this modeling technique, can be applied in experiments with Eucalyptus spp. and another forests formation, expressing a practical application to the study of clones of Eucalyptus spp. in the Gypsum Pole of Araripe-PE.