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combinations for the NLME models were determined by AIC, BIC and -2LL. The results showed that the basic model with three random effects parameters ϕ1, ϕ2 and ϕ3 was considered the best mixed model. The nested two levels NLME model considering heteroscedasticity structure (power function) possessed with higher predictable accuracy and significantly improved model performance (LRT = 469.43, p<0.0001). The NLME model would be allowed for estimating accuracy the height-diameter relationships of Chinese fir and provided better height predictions than the models using only fixed-effects parameters.

Height-diameter Models of Chinese Fir (<em>Cunninghamia lanceolata</em>) Based on Nonlinear Mixed Effects Models in Southeast China