它的理论基础是滑动最小二乘法。
但在具体求解中只需用最小二乘法。
But in the specific solution, only the least square regression is needed to solve.
模型的基本原理是最小二乘法。
等价空间法；改进最小二乘法；
研究方法：采用最小二乘法。
型值点光顺后，采用最小二乘法圆弧拟合。
After smoothing the type value points, the least square method of fit...
方法采用最小二乘法拟合直线识别T波终点。
Methods Using least square method simulating line identify the end point of t wave.
普通最小二乘法是最好的做法，看到的结果。
Ordinary Least Square method is the best practices to see the results.
最小二乘法是一种流行的方式来实现这一目标。
The least squares-method is one popular way to achieve this.
并通过最小二乘法线性拟合后进行显著性检验。
And significance test is carried out through least square fitting method.
应用最小二乘法作为获取辊型的数据处理方法。
The least square is applied to process the raw data for getting the roller profile.
传统的最小二乘法拟合流速剖面存在一定的困难。
It is difficult to simulate a velocity profile with the traditional least square method.
采用最小二乘法由微机进行数据处理，精确度高。
The data is accurate because it is processed with computer by least square method.
在工程数据线性拟合时，宜选用线性最小二乘法。
The Application of the Method of Least Square of Data Fitting in Physics Test;
最后基于最小二乘法原理实现了测试数据的误差补偿。
The error compensation of test data is achieved with the least square method.
最小二乘法；
采用最小二乘法对输电线路铺设成本进行了拟合估算。
This paper adopts the least square method to estimate the construction cost of the transmission-line.
通过实例分析了最小二乘法原理在化学数据处理中的应用。
The Application of least square method in chemistry data treatment is analysed through two examples.
并对试验结果运用偏最小二乘法与残差分析进行回归分析。
The test result was analysed with Partial Least Square and Residual analyse.
通过将其与一般算法进行比较，体现了最小二乘法的优越性。
The least square method is compared with normal arithmetic to show its superiority.
同时，文中还提出一种提取信号极点的矩阵预测到最小二乘法。
A new method of matrix prediction least square is also proposed.
对于这种接头的碳迁移，用最小二乘法拟合很难得到满意的结果。
It is impossible that they can be imitated in the least square method.
根据最小二乘法的求解原理，建立了一种适用于多变量方程组系数参数的拟合算法。
Multivariable equation set fitting method is derived on the basis of least square method principle.
根据最小二乘法的求解原理，建立了一种适用于多变量方程组系数参数的拟合算法。
Multivariable equation set fitting method is derived on the basis of least square method principle.
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