02096nab a2200289 i 4500 BR-BrBNA 20260416155754.0 260416b2019 bl.qr|pooa||| 00| 0 eng | BR-BrBNA eng K10 3140 Nicoletti, Marcos Felipe Carvalho, Samuel de Pádua Chaves e Machado, Sebastião do Amaral Figueiredo Filho, Afonso Oliveira, Gustavo Silva Partial Volume Prediction Through Nonlinear Mixed Modeling Publicação on-line; 26 ref.; 7 tables; 2 illus.; Summary (En) 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. PINUS TAEDA BIOMETRIA FLORESTA ANÁLISE ESTATÍSTICA 2929 347953 Rio de Janeiro-RJ Instituto de Florestas - UFRRJ 1994 2025-0452 Floresta e Ambiente (Brazil) 1415-0980 / ISSN 2179-8087 0nline v. 26(4) p. 1-10; (2019) BR2026001193 https://www.scielo.br/j/floram/a/CkHrFYG4RgK5kJygRkGDttF/?format=pdf&lang=en ANA 341413 341413