000			02096nab a2200289 i 4500
003			BR-BrBNA
005			20260416155754.0
008			260416b2019 bl.qr|pooa||| 00| 0 eng |
040			_aBR-BrBNA _beng
072			_aK10 _b3140
100			_aNicoletti, Marcos Felipe
100			_aCarvalho, Samuel de Pádua Chaves e
100			_aMachado, Sebastião do Amaral
100			_aFigueiredo Filho, Afonso
100			_aOliveira, Gustavo Silva
245			_aPartial Volume Prediction Through Nonlinear Mixed Modeling
500			_aPublicação on-line; 26 ref.; 7 tables; 2 illus.; Summary (En)
520			_a ABSTRACT The objective of this study was to assess the prediction of partial volumes with nonlinear mixed modeling for Pinus taeda. The volume of 558 trees was measured. The four-parameter logistic model was used in its modified form for the nonlinear mixed approach and, for comparison, the 5th degree polynomial was used. In the mixed modeling, the random effects diameter, age and place were inserted. The statistical criteria used to assess the quality of the adjustment were the Akaike Information Criterion (AIC), the Bayesian Information Criterion (BIC), standard error of the estimate (Syx) and residual graphical analysis. Among the random effects analyzed, age obtained the best adjustment. However, to predict partial volumes, it was noticed that, regardless of the analyzed portion of the trunk, the 5th degree polynomial had the best estimates, with a mean standard error of 20.1% of the estimate compared to 51.8% of the logistic. Keywords: forest biometrics, logistic model, taper.
650			_aPINUS TAEDA
650			_aBIOMETRIA
650			_aFLORESTA
650			_aANÁLISE ESTATÍSTICA
773	0		_02929 _9347953 _dRio de Janeiro-RJ Instituto de Florestas - UFRRJ 1994 _o2025-0452 _tFloresta e Ambiente (Brazil) _x1415-0980 / ISSN 2179-8087 0nline _gv. 26(4) p. 1-10; (2019) _wBR2026001193
856			_uhttps://www.scielo.br/j/floram/a/CkHrFYG4RgK5kJygRkGDttF/?format=pdf&lang=en
942			_cANA
999			_c341413 _d341413