在数控插补程序中，应用了最小偏差法进行插补计算。
The Least Difference Theory was applied in the interpolation program.
介绍一种改进的最小偏差法圆弧插补原理及实现方法。
The new calculation way on circular interpolation of the data sampling kind method;
在逐点比较法和最小偏差法基础上提出了一种新的直线插补算法。
A new algorithm for linear interpolation is presented based on trial-and-error method and least error method.
在最小偏差法原理的基础上，通过构造独特的偏差判别函数，提出了一种快速高精度的圆弧插补方法。
Based on the principle of the least deviation method, the paper puts forward a rapid and high-precision arc interpolation method through special-structural discrimination function.
针对上述问题给出了一种新的最小隶属度偏差法，并举例说明这种方法的应用。
In view of the above mentioned problem, a new deviation method of minimum subordinate degree is presented with its application illustrated.
利用最小偏差分析法，分析了我国GDP增长率的周期性特征，并对我国今后几年的GDP增长率进行了预测。
The paper analyzes the periodic characteristics of China GDP increasing rate by means of minimal error analytical method and forecasts the GDP increasing rate in a few years.
针对已有模糊综合评判方法存在的问题，提出了一种基于最小隶属度加权平均偏差法的改进方法。
For the problems of fuzzy comprehensive evaluation, an improved method is proposed which is based on the deviation method of minimum membership degree with weighted proportional means.
基于指数法、双曲线法、星野法，提出了根据最小偏差自动选取计算模型的思想。
Based on the exponential method, hyperbolic method and Hushino method, the idea to select calculating model automatically in the light of least deviation is raised.
这样广义最小二乘法，偏差校正法及伪线性法的离线算法便很容易地以这同一准则导出。
Off-line algorithms of GLS, BCLS and PLR can be derived easily from the same criterion.
绝对偏差最小法是一种适合于存在离群点时的稳健估计算法，可以克服最小二乘法仅在误差为正态分布时才有效的缺点。
Therefore, least absolute deviation, which is more robust than least squares especially for Gaussian noise, is selected to reduce the random error.
实验结果表明，与最小二乘法相比，当数据中存在个别误差较大的离群点时，采用最小绝对偏差法可以使得定位精度得到明显改善。
Experimental results show that compared with least squares, least absolute deviation can improve location accuracy effectively considering the existence of several outliers.
实验结果表明，与最小二乘法相比，当数据中存在个别误差较大的离群点时，采用最小绝对偏差法可以使得定位精度得到明显改善。
Experimental results show that compared with least squares, least absolute deviation can improve location accuracy effectively considering the existence of several outliers.
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