Accordingtodynamicmeasurationof morphologicalindexes, regression simulation of yearly growing rule was done on seedling height and diameter. It was found that the coefficient of correlation was above 0.9, therefore, the trade of seedling growth could be forecast by regression equation.
3.根据生长期间的棒子形态指标的动态测定，对苗高和地径进行了年生长规律回归模拟，R在0.9以上，因而可用所得的回归模拟方程对苗木生长进行预测。
参考来源 - 榛子苗木活力研究·2,447,543篇论文数据，部分数据来源于NoteExpress
最后，利用验证数据对混合模型方法与传统的非线性回归模拟方法进行精度比较。
Finally, the precision of mixed models was compared with the precision of conventional nonlinear ordinary regression analysis method based on validation data.
模拟中选用了偏态的一阶自回归模型。
用幂函数模型描述的回归曲线以及根据试验参数得到模拟曲线与试验值比较误差均较小。
The errors of the data obtained using the power function model are very small from the test data.
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