Descusses the logarithmic correction factors of general multiplicative regression model and percent bias of unadjusted predicted value. The pool of correction factors is proposed.
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。
Therefore, based on mathematics statistics theory, this thesis presents a new evaluation method for evaluating these predicted results by introducing the notion of the correction rate of prediction.
该方法定义了模型预测的正确率这一概念，进一步由正确率导出模型预测结果正确的概率，以此来评价模型预测结果的可靠性。
The calculation is conducted with a two-step-integral predicted-correction method.
计算格式采用两步积分的预测校正法进行选代求解。
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