Compatible Biomass Model of Moso Bamboo with Measurement Error

Moso bamboo is characterized by its fast growth and high yield important as a carbon sink species. Therefore, understanding the biomass distribution of components crucial. Based on measured individual data 66 Phyllostachys heterocycla cv. Pubescens plants in Yixing state-owned forest Jiangsu Province, nonlinear simultaneous equations with measurement errors were constructed using error-in-variable models (NEIVM) (one step, two step) seemingly unrelated regression (NSUR). Variables affecting evaluated, including diameter at breast height (DBH), (H), to crown base (HCB), node length DBH (NL), (BD), age (A). DBH, H, HCB had significant effects each component. They used construct one-predictor system two-predictor three-predictor HCB. Regardless number variables used, fitting accuracy NEIVM one-step method exceeded that two-step method, NSUR estimation. As three predictive better than other systems, we recommend for