The objective of the present work was to verify the efficiency of the Weber Distribution, when applied to the weight of pine cones. Forty green pine cones were collected and weighed in the Metropolitan Region of Curitiba. The weights were distributed into 6 classes, with 90 gram interval. It is concluded that the Weber Distribution adjusted to the data, in accordance with the Kolmogorov-Smirnov Test. The expected values for the adjusted distribution, average and mode had resulted in values close to the observed ones, showing that the developed expressions are efficient. The facility to adjust the proposed model, and the calculation of the average, variance, standard deviation and inflection points, by means of the developed expressions, are advantages of this distribution. Due to its flexibility, it is possible to affirm that this model can be applied to several forest distributions, as well as to other biological data.
Probability density function; pine cone weight; asymmetric distributions
