摘要
大学物理实验数据处理过程中变量之间的关系大多可以转化为一元线性回归问题,但实验测量数据中可能存在的粗差点会降低其结果的准确性。本文将一元线性回归曲线拟合与C语言程序相结合,采用线性回归粗差点判别法,实现粗差点的剔除,有效地提高判别结果的准确性。
Most of the relationships between variables can be transformed into a linear regression problem in the university physics experiments data processing.However,gross error points that exist in the experimental measurement datas will reduce the accuracy of the results.In this paper,the linear regression curve fitting is combined with C program.Linear analysis discriminated method is used to eliminate the gross error points,so the accuracy of the discriminant results is improved effectively.
作者
郭露芳
杨欣
GUO Lu-fang;YANG Xin(University of Shanghai for Science and Technology,Shanghai200093)
出处
《大学物理实验》
2017年第6期116-118,共3页
Physical Experiment of College
基金
2017年上海理工大学教师教学发展研究项目(5214113001)
关键词
粗差判别
线性回归
C语言
gross error discrimination
linear regression
C program
