首页 | 官方网站   微博 | 高级检索  
     

基于改进的向后-向前选择法粗差定位与估值算法
引用本文:柴双武,杨晓琴.基于改进的向后-向前选择法粗差定位与估值算法[J].大地测量与地球动力学,2019,39(5):538-543.
作者姓名:柴双武  杨晓琴
作者单位:太原理工大学矿业工程学院
摘    要:对传统的向后-向前选择法粗差定位方法进行改进,即在原有基础上加入对平差模型的整体检验,计算统计量的相关系数,通过对偏相关系数的检验来定位统计量相关的粗差观测值。通过模拟粗差算例证明,该算法能够准确定位多维粗差,有效改善粗差定位转移的现象,且粗差估值结果比较可靠。

关 键 词:数据探测法  统计量相关系数  偏相关系数检验  粗差定位  粗差估值  

Algorithm for Location and Evaluation of Gross Errors Based on Improved Backward-Forward Selection Method
CHAI Shuangwu,YANG Xiaoqin.Algorithm for Location and Evaluation of Gross Errors Based on Improved Backward-Forward Selection Method[J].Journal of Geodesy and Geodynamics,2019,39(5):538-543.
Authors:CHAI Shuangwu  YANG Xiaoqin
Abstract:In this paper, the traditional backward-forward selection method of gross error locating method is improved: testing the overall adjustment model, calculating the statistic correlation coefficient and using the partial correlation coefficient test are added to locate the statistics related to the gross error observation values. The simulation results show that this algorithm can accurately locate the multidimensional gross errors, effectively improve the gross errors location and transfer, and the estimation results of gross errors are reliable.
Keywords:data snooping  statistical correlation coefficient  partial correlation coefficient test  location of gross errors  evaluation of gross errors  
本文献已被 CNKI 等数据库收录!
点击此处可从《大地测量与地球动力学》浏览原始摘要信息
点击此处可从《大地测量与地球动力学》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号