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。

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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。

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AIM to establish a rat C6 brain tumor model, observe the tumor growth by general observation and MRI scan and seek for a simple and reliable index to judge its size.

目的建立大鼠c6脑胶质瘤模型，行一般观察和MRI检查以确定颅内肿瘤生长情况，寻找简易判定颅内肿瘤大小的可靠指标。

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