用Origin剔除线性拟合中实验数据的异常值

Data Rejection in Linear Fitting Using Origin

介绍了用MicrocalOrigin软件进行实验数据线性拟合的具体方法 ,利用其LabTalk编程和DataMask等高级功能 ,以肖维勒准则实现了异常数据的判断和剔除 .以核磁共振的稳态吸收中磁场强度和励磁电流的线性拟合实验为例 ,通过整个实验数据处理和分析的过程 ,展示了Origin直观、快捷、高效的特点 ,适合学生在物理实验的数据处理和分析中应用 .

Microcal Origin was introduced to data rejection in linear fitting. The judgment and rejection of bad data points was implemented by Chauvenet′s Criterion with the aid of Lab Talk and Data Mask in Origin. Taking the liner fitting of B^I in a Nuclear Magnetic Resonance experiment as an example, Origin is illustrated to be suitable for data analysis in physics experiment.