摘要
应用数理统计参数估值理论提出了一种新的粗大误差判据,该判据尤其适用于采样次数较少(n≤10)的测量系统中,剔除粗大误差的准确性高,应用于高精度智能测量系统中,可提高测量数据的精度.
Using statistical estimation theory, a new gross error criterion is established. The criterion is specially applied in measuring system of sampling fewer times(\%n\%≤10), and it can accurately pick out the gross error. It can improve the precision of measured data in intelligence system.
出处
《测试技术学报》
2003年第3期258-261,共4页
Journal of Test and Measurement Technology
关键词
智能测量
粗大误差
数理统计
判据
参数估值
intelligent measuring
gross error
criterion
mathematical statistics
