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.
CHAI Shuangwu,YANG Xiaoqin. Algorithm for Location and Evaluation of Gross Errors Based on Improved Backward-Forward Selection Method[J]. jgg, 2019, 39(5): 538-543.