最小二乘法處理自變量誤差實驗數(shù)據(jù)的方法
代錦輝成都理工大學,成都610059摘 要:最小二乘法是處理實驗數(shù)據(jù)的常用方法,一元線性回歸方程要求自變量無誤差或其誤差遠小于因變量的誤差.但在實際的測量中,測量數(shù)據(jù)不可避免地會帶來誤差,該文在分析和總結(jié)了自變量有誤差的情況下,用最小二乘法處理實驗數(shù)據(jù)時的幾種方法.[著者文摘]
關(guān)鍵詞:最小二乘法 誤差 自變量 不確定度
分類號: O4-33[著者標引]文獻標識碼:文章編號:1672-4550(2006)04-0021-02欄目信息:實驗技術(shù)
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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 |
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