本文主要研究了生长曲线模型中回归系数的参数估计问题。
In this paper, some researches on estimator of parameters in the growth curve model are considered.
方法通过数据间的相关信息，应用EM算法和生长曲线模型进行数据分析。
METHODS Based on correlation information among data, the authors analyzed data by using EM algorithm and growth curve model.
本文研究了带有不等式约束的生长曲线模型中线性估计的容许性与泛容许性问题。
The Minimax admissibility of linear estimates with respect to restricted multivariate regression coefficient under matrix loss function is considered.
最后，我们还研究了一般生长曲线模型在不同可预测变量下的简单投影预测关于协方差阵的稳健性。
Finally, robustness of the simple projection predictor in the general growth curve model with different linear predictable variable on the covariance matrix are investigated.
本文讨论带约束生长曲线模型中回归系数线性估计的泛容许性，给出了回归系数的线性估计在线性估计类中是泛容许估计的充要条件。
In this paper, we will consider the universal admissibility for linear estimators of regression coefficients under growth curve model with respect to restricted parameter sets.
采用纵向结构方程模型或生长曲线分析评价时间效应。
Longitudinal Structural Equation Modeling or Growth Curve Analysis will be used to evaluate temporal effects.
本文讨论了用非参数模型对儿童生长曲线进行拟合，给出了两种非参数曲线拟合方法：光滑样条和核估计。
This paper discusses childhood growth curve fitting by nonparametric models, and provides two methods for nonparametric curve fitting: smoothing spline and kernel estimator.
模型较好地吻合了界面上红曲霉生长的动力学曲线，反映了红曲霉固态发酵过程中微环境下的生长过程。
The model is fitting to the growth profile of Monascus on the membrane, and reflected the growth of Monascus in micro-environment with solid-state fermentation.
模型较好地吻合了界面上红曲霉生长的动力学曲线，反映了红曲霉固态发酵过程中微环境下的生长过程。
The model is fitting to the growth profile of Monascus on the membrane, and reflected the growth of Monascus in micro-environment with solid-state fermentation.
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