The Application of Robust Estimation to the Gross Error Detection and Adjustment Calculation
Yu Xuexiang Lu Weicai (Huainan College of Mining and Technology. Huainan, 221008)
In the conventional methods of detecting the outliers, not oney the amount of the auxiliary calculation is heavy, but adjustment and outlier-detectiot are performed separately. In this paper, according to the robust estimation theory, robust estimation and LS estimation are carried out for different plans by adding outliers to observations. The results show that, robust estimation does not only detect the positions and amounts of gross errors, but also realizes the object of completing the adjustment and outler detection simultaneously, and the adjustment results are reliable.
【CateGory Index】： P207