The model of Curtis was considered in this work for the hypsometric relationship in Eucalyptus sp. clones with parameters submitted to restrictions. A Bayesian a priori density was empirically constructed to infer the parameters of the models with restrictions. The Bayesian estimates are calculated using Monte Carlo Markov Chain (MCMC) Method. The proposed method was applied to different groups of real data from which five were selected to show the results. Those were compared to the achieved results by the minimum square method and the superiority of the Bayesian approach is highlighted.
Curtis' Model; Bayesian inference; Height-diameter relationship; Restriction parameters; MCMC
