Linear growth model is widely used in the analysis and forecast of time series in economic and biological fields.
线性增长型模型被广泛应用于经济领域和对生物信号的时间序列的分析和预报。
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。
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。
The secondary model was based on the classical Square Root equation, which displayed a good linear relationship between the growth rate of Aspergillus versicolor and temperature.
二级模型采用经典的平方根模型拟合，发现杂色曲霉生长速率与温度呈较好的线性关系。
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。
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 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。
The stability of a three species food chain system is discussed, in which the growth of producer is subject to the linear initial regrowth model.
讨论了生产者服从草再生模型的三种群食物链系统平衡点的稳定性问题。
The stability of a three species food chain system is discussed, in which the growth of producer is subject to the linear initial regrowth model.
讨论了生产者服从草再生模型的三种群食物链系统平衡点的稳定性问题。
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