Bayes Unmasking Method to Detection of Gross Errors Together with Influence Analysis

By analyzing the reason of masking and combining the method of posterior probability of observation error and the influence of Kullback-Leiber divergence,a Bayes unmasking method for gross errors detection is proposed based on the idea of one-by-one searching.The experimental results show that this method is successful for gross errors detection.The method not only detects the gross errors of masking effectively and has a bstter result,but also has a simple computational process and higher efficiency.