运用广义加权平均组合预测模型进行市场需求预测，以克服传统的单一市场预测方法的不足。
The combination forecasting model of generalized weighted proportional means which to overcome the inadequacy of traditional single market forecasting method, was used to forecast market demands.
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.
从P次幂误差的概念出发，提出了广义加权算术平均组合预测法新的预测方法优超和冗余度的定义。
New dominant forecasting method and redundant measure are defined for combination forecasting method with generalized weight arithmetic average, based on error of power of p.
应用推荐