摘要
文章以兴安落叶松为例,使用联立方程组模型方法建立二元立木材积模型,该方法有效解决了二元立木材积模型的建模和预估前提不一致问题。在联立二元立木材积模型的估计中,分别采用了通常非线性估计方法和两步估计方法进行研究。研究结果证明:两种方法都能对模型进行估计,但两步估计可进一步减小系统偏差,达到通用性模型误差限要求,两步估计方法优于通常非线性估计。
Taking Larix gmelini as an example, the consociation equation set model method was used in creating duality standing tree volume model, the variance of constructing model and estimation precondition could be effectively solved to duality standing tree volume model. The usual nonlinear estimation and two steps estimations method were used to estimate the consociation equation set model method of duality standing tree volume model. As a result, the model could be estimated by two methods; two steps estimation method could reduce system error, and attain error limit than universal model, two steps estimation method was better than usual nonlinear estimation.
出处
《林业科学研究》
CSCD
北大核心
2009年第6期788-791,共4页
Forest Research
基金
云南省中青年学术和技术带头人后备人才项目(2004Py01-17)资助
关键词
二元立木材积模型
联立方程组模型
通常非线性估计
两步估计
duality standing tree volume model
consociation equation set model
usual nonlinear estimation
two steps estimation
