• 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.

    一元非线性回归多元线性回归结合起来,构造一个混合回归模型这样减小模型残差平方和从而提高预报的准确性

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

    利用BIC准则残差平方和最小原则得到振梁加速度计最佳误差模型。

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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.

    因此绝对程度误差模式可以通过平方加权因子代替

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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.

    因此绝对程度误差模式可以通过平方加权因子代替

    youdao

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