对多信道模型的输出应用线性预测，证明了预测误差只包含多信道模型冲激响应在第一个时隙的参数，并给出最佳线性预测器的长度。
A linear prediction approach is applied to the output of this SIMO model and we prove that the prediction error contains the parameters of the first time slot of the model impulse response.
本文利用计算机模拟对各种类型的编码方案，包括最佳线性预测器、自适应量化器、帧内自适应预测器以及帧内-帧间自适应预测器进行了比较。
Various coding schemes such as optimum linear predictors, adaptive quantizers, intraframe adaptive predictors, and intra-interframe adaptive predictors are compared by means of computer simulations.
如果概率很低，那就可以不采用平均值是最佳预测值这一无效假设，并且相应地可以确信简单线性模型是与数据良好吻合的。
If that probability is low, then you can reject the null hypothesis that the mean is the best predictor and, correspondingly, gain confidence that a simple linear model offers a good fit for the data.
在此基础上，通过逐步回归分析确定用于高速公路事件持续时间预测的最佳变量组合并建立多元线性回归模型。
Then, stepwise regression analysis is used to select a best group of factors for the prediction of expressway incident duration, and the multiple linear regression model is established.
在矩阵损失下，找到预测指标的估计的最佳线性估计类。
Under the matrix loss, we find the best linear estimate class of the prediction index.
在矩阵损失下，找到预测指标的估计的最佳线性估计类。
Under the matrix loss, we find the best linear estimate class of the prediction index.
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