20.500.12556/RUL-142941 Evaluation of estimation methods for fitting the three-parameter Weibull distribution to European beech forests We evaluated three estimation methods for fitting the three-parameter Weibull distribution to even-aged European beech (Fagus sylvatica) forests by using experimental tree diameter data collected in 3709 sample plots (500 m2 each). The maximum likelihood estimation method (MLE), the method of moments (MOM) and the method of modified moments type 1 (MM1) were applied for fitting the Weibull function. The goodness-of-fit of stand parameters (total tree number, stand basal area, dominant stand diameter and mean quadratic diameter) was tested by MAE and RMSE, and the probability and cumulative density functions of trees per 5 cm diameter classes were additionally tested by the Kolmogorov-Smirnov test and compared with Kolmogorov-Smirnov’s D statistic. All three methods are suitable for estimating stand parameters based on the fitted Weibull function. Fitting the diameter distribution per 5 cm diameter classes at the plot level was less accurate due to the low number of trees or irregular diameter distribution of trees. The MM1 method was found to be the most suitable for fitting the three-parameter Weibull distribution to beech forests represented by data derived from small plots. diameter distribution fitting Weibull function parameter estimation inventory data circular sample plots near-natural forests Fagus Sylvatica Slovenia prilagoditev porazdelitve premera Weibullova funkcija ocena parametrov podatki gozdne inventure krožne vzorčne ploskve skoraj naravni gozdovi Fagus Sylvatica bukev Slovenija true false true Angleški jezik Slovenski jezik Članek v reviji 2022-12-05 13:48:40 2022-12-05 13:48:44 2022-12-06 03:38:37 0000-00-00 00:00:00 2022 0 0 Str. 484-490 iss. 6 Vol. 15 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2022-12-01 630*6 1971-7458 10.3832/ifor4145-015 132338691 https://iforest.sisef.org/abstract/?id=ifor4145-015 1 03f901ad-749b-11ed-9c94-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=164504 RAZ_Boncina_Ziva_2022.pdf RAZ_Boncina_Ziva_2022.pdf 1 D1D3E937EE6BDA27020D66639B2B3632 7fbb8d0eee2a70ae2b845a8734329e2767feea8646255771d52541726ec3d18d 29d4fb55-749b-11ed-9c94-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=164505 Biotehniška fakulteta 0 0 0