摘要
针对实验数据统计处理问题,一般采用一元线性拟合的基本原理进行回归分析,并由回归直线关系式求出因变量和自变量的定量关系,进而对各个参数的不确定度评估进行探讨。运用实例说明了直线拟合的应用及各参数不确定度评估计算过程,以期在应用过程中加深理解、方便应用。
In experimental data statistics analysis, regression often has been done to obtain the quantitative relationships between dependent variables and independent variables based on the principle of single variable linear fitting, orderly to get the estimates of the parameters and their uncertainties. For deeply understanding and easily applying, an example is given to interpret the application of linear fitting and to describe the estimation of the parameters and the evaluation of their uncertainties.
出处
《中国测试》
CAS
2009年第3期41-44,共4页
China Measurement & Test
关键词
回归分析
直线拟合
最小二乘法
参数
不确定度
Regression analysis
Linear fitting
Method of least squares
Parameters
Uncertainty