此后6月份库存和贸易差额数据显示，预测值有所偏差。

Since then, June inventories and trade gap data have suggested those estimates were off base.

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该方法能改进传统挣值法在预测工期、成本方面产生的偏差，并且与传统挣值方法相比，增加了更多的原因分析信息。

It corrects the deviation derived from traditional earned value method when forecasting the duration and cost, and it supplies more analysis information than traditional earned value method.

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文中讨论了一般乘法回归模型的对数改正系数和未校正预测值的相对偏差，提出了对数改正系数的合并问题。

Descusses the logarithmic correction factors of general multiplicative regression model and percent bias of unadjusted predicted value. The pool of correction factors is proposed.

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