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The Generalized Additive Models for Location, Scale, and Shape (GAMLSS) are a recent class of models that further flexibility the distribution of the response variable. The regression analysis has been used to model biological phenomena, and its various modalities have met the need for its use with precision. However, there are situations in which the adjustment of models with more flexible assumptions in the specification of the distribution of the response variable becomes indispensable, thus justifying the use of GAMLSS. The study of plant growth curves has full application in agricultural research; thus, it is crucial to know the habits of growth and development of forest species is crucial for reforestation programs and in the most diverse researches. The study aimed to model the growth of Eucalyptus through the adjusting of Generalized Additive Models for Location, Scale, and Shape, in order to promote improvements on crop productivity. Considering all parameters of the independent variable (time) under GAMLSS class modeling, the distribution model ST3 presented better results.

An Application of Generalized Additive Models of Location, Scale, and Shape (GAMLSS) to estimate the Eucalyptus Height