Helmert Estimating Based on Filtering Considering Error of Original Data

This paper brings forward Helmert estimating based on filtering considering error of original data, when knowing the statistical apriority of parameter and original data. The precision of this method is relative to the norm of original data. This method considers the effect of original data and the amount of count is not added. At the same time, estimating and Helmert estimating are carried through, that makes the disposal of data more perfect.