A Discussion on Discrimination Method of Gross Error in the Course of Error Theory and Data Processing

被引：0

作者：

Chi, Haotian ^{[1
]}

Wang, Xuguang ^{[1
]}

机构：

[1] North China Elect Power Univ, Sch Control & Comp Engn, Baoding 071003, Peoples R China

来源：

2015 International Conference on Education Research and Reform (ERR 2015), Pt 2 | 2015年 / 9卷

关键词：

Gross error; Residual error; Model fitting;

D O I：

暂无

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

The discriminant of gross errors is an important content in the course of Error Theory and Data Processing. When teaching this part, only one case is mentioned, i.e. detecting the gross errors of a series of measurements directly measured from an object. In the actual project, another case is also common, that is finding gross errors from a series of data which is used to get a fitting model. This paper discusses the discriminant method of gross errors for the second case. We detect gross errors of the series of data from its corresponding residual sequence.

引用

页码：182 / 188

页数：7