研究了一般增长曲线模型未来观察的预测问题，在一定条件下得到了它的最优线性预测量，经验最优线性预测量，最优线性无偏预测量。
The optimal linear linear prediction experiential optimal linear prediction and optimal linear unbiased prediction in the general growth curve model are obtained.
传统的实测曲线拟合法对土模型参数的反演采用人工试凑的方法，效率低，且需要有一定工程经验的专业人员来操作。
Traditional signal matching analysis adjusting parameters of soil model uses manual way which has a fault of low efficiency and need the professional who processes engineering experience.
与已有经验模型和试验结果的分析对比表明，所获得的围压状态下的土性质曲线具有足够的工程精度。
The predicted dynamic shear modulus reduction and damping ratio curves are in excellent agreement with those of the empirical models and test results.
与已有经验模型和试验结果的分析对比表明，所获得的围压状态下的土性质曲线具有足够的工程精度。
The predicted dynamic shear modulus reduction and damping ratio curves are in excellent agreement with those of the empirical models and test results.
应用推荐