Comparison between gross errors detection methods in surveying measurements
Joint Authors
Haydar, Khalid Ali Muhammad
Ibrahim, Ahmad Muhammad Mahmud
Source
Journal of Science and Technology : in Engineering and Computer Sciences
Issue
Vol. 22, Issue 1 (30 Apr. 2021), pp.47-55, 9 p.
Publisher
Sudan University of Science and Technology Deanship of Scientific Research
Publication Date
2021-04-30
Country of Publication
Sudan
No. of Pages
9
Main Subjects
Abstract EN
The least squares estimation method is commonly used to process measurements.
In practice, redundant measurements are carried out to ensure quality control and to check for errors that could affect the results.
Therefore, an insurance of the quality of these measurements is an important issue.
Measurement errors of collected data have different levels of influence due to their number, measured accuracy and redundancy.
The aim of this paper is to examine the detection of gross error capabilities in vertical control networks using three methods; Global Test, Data Snooping and Tau Test to compare the effectiveness of these three methods.
With the least squares’ method, if there are gross errors in the observations, the sizes of the corresponding residuals may not always be larger than for other residuals that do not have gross errors.
This makes it difficult to find (detect) it.
Therefore, it is not certain that serious errors should be detected by just examining the magnitudes of the residuals alone.
These methods are used in conjunction with developed programs to calculate critical values for the distributions (in real time) rather than look for these in statistical tables.
The main conclusion reached is that the tau (τ) statistic is the most sensitive to the presence gross error detection; therefore, it is the one recommended to be used in gross error detection.
American Psychological Association (APA)
Haydar, Khalid Ali Muhammad& Ibrahim, Ahmad Muhammad Mahmud. 2021. Comparison between gross errors detection methods in surveying measurements. Journal of Science and Technology : in Engineering and Computer Sciences،Vol. 22, no. 1, pp.47-55.
https://search.emarefa.net/detail/BIM-1384886
Modern Language Association (MLA)
Haydar, Khalid Ali Muhammad& Ibrahim, Ahmad Muhammad Mahmud. Comparison between gross errors detection methods in surveying measurements. Journal of Science and Technology : in Engineering and Computer Sciences Vol. 22, no. 1 (2021), pp.47-55.
https://search.emarefa.net/detail/BIM-1384886
American Medical Association (AMA)
Haydar, Khalid Ali Muhammad& Ibrahim, Ahmad Muhammad Mahmud. Comparison between gross errors detection methods in surveying measurements. Journal of Science and Technology : in Engineering and Computer Sciences. 2021. Vol. 22, no. 1, pp.47-55.
https://search.emarefa.net/detail/BIM-1384886
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 54-55
Record ID
BIM-1384886