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PARAMETERS ESTIMATION OF A WEIBULL PROBABILISTIC DENSITY FUNCTION BY NEST REGRESSION IN THINNING STAND OF Pinus taeda L.

ABSTRACT

This work was accomplished with the objective of predicting the parameters of probabilistic density function for thinning stands of Pinus taeda, in the south of Brazil, with the purpose of obtaining the prognosis of the frequencies per unit of area by diameter class. The parameter from Weibull function was estimate through nested regressions with independent variables that express the density of population. Results of the adjustment of the probabilistic density function of the frequencies per diameter class, in the first and second thinning, and cut, presented an excellent statistical precision, with good estimates of values and population density per diameter class. The values prognostic of the probabilistic density per diameter class, considering situations different density and age from the population, showed an excellent precision, with values close to those ones observed.

Keywords:
diameter distribution; density; diameter; growth prediction

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