摘要
最小二乘法是处理实验数据的常用方法,一元线性回归方程要求自变量无误差或其误差远小于因变量的误差.但在实际的测量中,测量数据不可避免地会带来误差,该文在分析和总结了自变量有误差的情况下,用最小二乘法处理实验数据时的几种方法.
The least square method is experiment data. The regression equation requires the independent variable to have no error. But there is always error in measuring. When the independent variable has error-several methods to process data by least square method are discussed in this paper.
出处
《实验科学与技术》
2006年第4期21-21,46,共2页
Experiment Science and Technology
关键词
最小二乘法
误差
自变量
不确定度
least square method
uncertainty
independent variable
error
