The least square estimate of covariance matrices in the growth curve model with random effects;
该文研究了非线性随机效应模型，为非线性张度大的模型提供了理论和方法。
In this paper, some researches on estimator of parameters in the growth curve model are considered.
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。
The admissibility of non-homogeneous quadratic form estimate of variance on the growth curve model was studied under quadratic loss function.
在二次损失函数下，研究了增长曲线模型误差方差的非齐次二次型估计的可容许性问题。
The optimal linear linear prediction experiential optimal linear prediction and optimal linear unbiased prediction in the general growth curve model are obtained.
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。
In this paper, we consider the admissibility of linear estimates of regression coefficients in growth curve model.
本文讨论增长曲线模型回归系数的线性估计的容许性。
The problem of conditional optimal prediction for conditional linear predictable variable in the general growth curve model is investigated.
研究了带线性等式约束下增长曲线模型中条件可预测变量的最优预测。
Finally, robustness of the simple projection predictor in the general growth curve model with different linear predictable variable on the covariance matrix are investigated.
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。
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.
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。
This paper is based on the Phillips curve and Okun's Law. By using the state space model with regime switching, we positively test the relationship between growth and inflation.
本文在菲利普斯曲线和奥肯定律的理论框架下，采用具有区制转移的状态空间模型对经济增长率和通货膨胀率之间的关系进行了实证研究。
We choose a reliability growth model for the planning and evaluation of reliability growth of FMS. Decide some key parameters . plot the planning growth curve.
为FMS可靠性增长的规划和评估选择了合适的增长模型，确定了FMS可靠性增长的关键参数，绘制了计划的可靠性增长曲线。
METHODS Based on correlation information among data, the authors analyzed data by using EM algorithm and growth curve model.
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。
In this thesis, the admissibility and general admissibility of linear estimators in growth curve model with respect to inequality restriction are considered.
利用矩阵的向量化方法，研究了带线性约束的增长曲线模型中可估函数的线性估计在非齐次线性估计类中可容许的充要条件。
Combined with the actual features of the development of renewable energy, a stage target decomposition model based on the industry growth curve of renewable energy was presented.
模型首先求解出中国不同的可再生能源行业的增长曲线。
We study the admissibility of the quadratic estimate for error variance in two classes of growth curve model.
在二次损失函数下，研究了增长曲线模型误差方差的非齐次二次型估计的可容许性问题。
This paper considers the classification compression principal component estimate of regression coefficient in growth curve model and proves that it is superior to least squares estimate.
研究岭型主成分估计在降维估计类中的方差最优性，证明了它的方差阵在降维估计类中最小，方差阵的特征值最小，方差和及方差积最小。
This paper considers the classification compression principal component estimate of regression coefficient in growth curve model and proves that it is superior to least squares estimate.
研究岭型主成分估计在降维估计类中的方差最优性，证明了它的方差阵在降维估计类中最小，方差阵的特征值最小，方差和及方差积最小。
应用推荐