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目的探讨相对最小二乘法在理化检验中的应用。方法举例说明相对最小二乘法计算的直线回归方程回归分析的标准系列的最低浓度理论值与测量值的相对差值总和与最小二乘法的区别。结果相对最小二乘法计算的直线回归方程回归分析的标准系列的最低浓度理论值与测量值的相对差值总和均小于最小二乘法。结论建议在理化分析中用相对最小二乘法替换最小二乘法计算直线回归方程式绘制标准曲线代表标准系列计算被测物质含量。
Objective To explore the application of relative least squares in physical and chemical testing. The method illustrates the difference between the sum of the relative differences between the theoretical and measured values of the standard series of linear regression equations and the least-squares method in the regression analysis of relative linear regression equations. Results Compared with the least squares method, the sum of the relative difference between the theoretical value of the lowest concentration of the standard series and the measured value of the linear regression equation of the regression analysis was less than that of the least square method. Conclusion It is suggested to replace the least square method with relative least squares to calculate the linear regression equation in physical and chemical analysis. Draw a standard curve to represent the standard series to calculate the content of the tested substances.