eCite Digital Repository
Multiple outlier detection by evaluating redundancy contributions of observations
Citation
Ding, X and Coleman, R, Multiple outlier detection by evaluating redundancy contributions of observations, Journal of Geodesy, 70, (8) pp. 489-498. ISSN 0949-7714 (1996) [Refereed Article]
Abstract
When applying single outlier detection techniques, such as the Tau (τ) test, to examine the residuals of observations for outliers, the number of detected observations in any iteration of adjustment is most often more numerous than the actual number of true outliers. A new technique is proposed which estimates the number of outliers in a network by evaluating the redundancy contributions of the detected observations. In this way, a number of potential outliers can be identified and eliminated in each iteration of an adjustment. This leads to higher efficiency in data snooping of geodetic networks. The technique is illustrated with some numerical examples.
Item Details
Item Type: | Refereed Article |
---|---|
Research Division: | Engineering |
Research Group: | Geomatic engineering |
Research Field: | Surveying (incl. hydrographic surveying) |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in philosophy and religious studies |
UTAS Author: | Coleman, R (Professor Richard Coleman) |
ID Code: | 7438 |
Year Published: | 1996 |
Web of Science® Times Cited: | 31 |
Deposited By: | Surveying and Spatial Information Science |
Deposited On: | 1996-08-01 |
Last Modified: | 2011-08-19 |
Downloads: | 0 |
Repository Staff Only: item control page