Abstract
Detailed data about forest stands are needed for economic and silvicultural interpretation of forest enterprises for a long time. Diameter distribution models (DDMs) allow to predict number of trees, basal area and stand volume at level of diameter classes. So, both effects of silvicultural treatments on forest stands and economic analysis of forest enterprise can be made with more details. In this study, diameter distributions were predicted by three-parameter Weibull function. The parameters of the Weibull function were predicted by maximum likelihood and percentile-based methods. According to the comparison based on Reynold’s error index, the method based on 31 th and 63 rd percentiles with an average success order of 2.61 was assessed as the most successful in prediction of parameters of the Weibull function. The eligible of the predicted distribution by the most successful method for the observed distribution was tested by Kolmogorov-Simirnov analyze, and the results showed that the Weibull function was suitable for 305 of total 312 sample plots.
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