最小二乘法处理自变量误差实验数据的方法

最小二乘法处理自变量误差实验数据的方法
代锦辉成都理工大学,成都610059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．[著者文摘]

关键词:最小二乘法 误差 自变量 不确定度
分类号:　O4-33[著者标引]文献标识码：文章编号：1672-4550（2006）04-0021-02栏目信息：实验技术
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Least Square Method to Process Data When the Independent Variable Has ErrorDAI Jin-hui Chengdu University of Technology Chengdu 610059Abstract: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.[著者文摘]

Key words:least square method ; uncertainty ; independent variable; error