求翻译：最优加权法实质为依据“过去一段时间内组合预测误差平方和最小”原则来求各个预测模型的加权系数。第i种预测模型在第t时刻的相对预测误差 为：是什么意思？

The optimal weighting method in real terms based on the past period of time within the combination to predict the squared error and minimum principle to seek the weighting coefficients of each model. The prediction model is the first time t relative prediction error as follows:

Optimal weighting method based on substance over a period of time the combination of forecast error sum of squares principle." the smallest individual forecast model to the weighting factor. I predict that the first Model T in the first moment of the relative forecasting errors:

The most superior method of weighting essence is the basis “passes in period of time to combine the forecast error sum of squares to be smallest” the principle to ask each forecast model the weighting factor.The ith kind of forecast model in the t time relative forecast error is:

Optimal weighting method based on real "over a period of time in the combined minimum prediction error sum of squares" principle to find the various forecast models of weighting coefficients. I forecast model in relatively predict errors t moments are:

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