其研究的核心的问题就是如何求出组合预测加权平均系数。
The key problem to be solved is how to obtain weighted averaging coefficients of combination forecasting.
实验结果表明该方法优于传统的加权平均系数组合方法。
Experimental results show that the proposed approach outperforms the conventional coefficient combining method of weighted averaging.
本文给出了计算最优加权系数的计算公式，并导出了简单平均预测是最优组合预测的条件。
In this paper, we discuss how to compute the weights of optimal combination forecasting and give the condition on which average combination forecasting is optimal.
给出一种新的组合预测模型——广义加权函数平均组合预测模型及其加权系数的参数估计方法。
In this paper, we present a new kind of combining forecasting model based on the generalized weighted functional mean and the parameter estimation methods of its weighting coefficients.
对中长期负荷组合预测进行了研究，提出了基于预测有效度最优的原则来求取组合预测加权系数的方案。
The changeable weight combined method is presented based on the principles of forecast effectiveness optimization through study of mid-long load combined forecast.
组合的风险小于单个股票风险的加权平均 数。 它和股票间的相关系数有关。
The portfolio's risk usually is smaller than the weighted average of the stocks' risk( ? ).
本文提出了由几个不同的预测模型通过加权几何平均的方式进行组合从而得到加权几何平均组合预测模型，给出了确定最优权系数的方法。
Weight geometric average combination forecast model obtained by weighing several different forecast models, is presented in this paper. A method is given to determine the best weight.
在此基础上建立面板数据插值的线性组合模型，提出空间漂移度法确定组合插值模型的加权系数。
A combination interpolation model is constructed by the results of the two models, The weights of the combination model are obtained by information entropy.
在此基础上建立面板数据插值的线性组合模型，提出空间漂移度法确定组合插值模型的加权系数。
A combination interpolation model is constructed by the results of the two models, The weights of the combination model are obtained by information entropy.
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