The paper designs a sum of square function, which is an optimization mathematical model that makes the residual sum of squares of wax deposition rate between the calculated and the measured minimum.
通过设计一个平方和函数，使蜡沉积速率的计算值与实测值的残差平方和为最小的优化数学模型成为一个无约束的非线性规划问题。
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。
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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