利用度量误差模型方法建立海南省桉树、木麻黄、马占相思重量与材积相容性模型

利用海南省按树、木麻黄、马占相思实测数据，采用度量误差模型方法，研究建立树干去皮材积与重量相容性联立方程，并对使用普通非线性回归方法和度量误差模型方法得到的重量估计结果进行对比分析。结果表明：对于带有度量误差的重量模型，使用度量误差模型方法进行估计效果更好；所建立的树干去皮材积与重量相容性联立方程拟合效果均较好，且二元明显优于一元，采用一元材积的重量模型预估精度达到96％以上，采用二元材积的重模型预估精度达到98％以上。

Using Error-in-variable Modeling Method to Establish Compatible Weight and Volume Equations System For Eucalyptus, Casuarina equisetifolia and Acacia mangium in Hainan Province

By using non-linear error-in-variable modeling method, the compatible models for the weight and the volume of Eucalyptus, Casuarina equisetifolia, Acacia mangium in Hainan province were established, and the prediction result of weight was analyzed by comparing the ordinary nonlinear regression method and the non-lin- ear error-in-variable modeling method, the results showed that： To weight model estimation with measurement errors, the non-linear error-in-variable modeling method was better than the ordinary nonlinear regression meth- od. From the compatible models established in this paper, the goodness-of-fit between weight models with one variable and two variables were compared, and the results showed that the weight models with two variables was better, the prediction precision of weight estimate with one variable in volume equation was higher than 96%, and the precision of weight estimate with tow variables in volume equationwas higher than 98%.