The rules of BIC and minimum residual sum of squares are used to gain the optimum error model.

利用BIC准则及残差平方和最小原则得到振梁加速度计的最佳误差模型。

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We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.

即把一元非线性回归和多元线性回归结合起来，构造一个混合回归模型，这样就减小了模型的残差平方和，从而提高预报的准确性。

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Therefore, the absolute magnitude of the error pattern can be represented by the extra sum of squares using the weighting factor.

因此，绝对程度的误差模式可以通过多平方用加权因子代替。

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