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A Practical Strategy For Detecting Multiple Gross Errors

Survey measurements are subject to random, systematic and gross errors. In practice, it is assumed that measurements are random variables, follow the normal distribution and have redundancy. The method of least squares estimation (ESE) is commonly used to process the redundant measurements. In the p...

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Main Author: Setan, Halim
Format: Article
Language:English
Published: Fakulti Ukur dan Harta Tanah 1996
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/4880/1/APractical.pdf
http://eprints.utm.my/id/eprint/4880/
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spelling my.utm.48802010-06-01T03:21:34Z http://eprints.utm.my/id/eprint/4880/ A Practical Strategy For Detecting Multiple Gross Errors Setan, Halim TA Engineering (General). Civil engineering (General) Survey measurements are subject to random, systematic and gross errors. In practice, it is assumed that measurements are random variables, follow the normal distribution and have redundancy. The method of least squares estimation (ESE) is commonly used to process the redundant measurements. In the presence of gross errors, the results of ordinary ESE are corrupted. Consequently, an interactive post-LSE technique of robustified LSE (RLSE) is introduced for the detection of multiple gross errors in uncorrelated surveying data. In RESE. the locations and magnitudes of such errors are recovered simultaneously, and their effect on the solution are areatlv reduced. Fakulti Ukur dan Harta Tanah 1996-02 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/4880/1/APractical.pdf Setan, Halim (1996) A Practical Strategy For Detecting Multiple Gross Errors. Buletin Ukur , 7 (1). pp. 1-10. ISSN 0128-4278
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Setan, Halim
A Practical Strategy For Detecting Multiple Gross Errors
description Survey measurements are subject to random, systematic and gross errors. In practice, it is assumed that measurements are random variables, follow the normal distribution and have redundancy. The method of least squares estimation (ESE) is commonly used to process the redundant measurements. In the presence of gross errors, the results of ordinary ESE are corrupted. Consequently, an interactive post-LSE technique of robustified LSE (RLSE) is introduced for the detection of multiple gross errors in uncorrelated surveying data. In RESE. the locations and magnitudes of such errors are recovered simultaneously, and their effect on the solution are areatlv reduced.
format Article
author Setan, Halim
author_facet Setan, Halim
author_sort Setan, Halim
title A Practical Strategy For Detecting Multiple Gross Errors
title_short A Practical Strategy For Detecting Multiple Gross Errors
title_full A Practical Strategy For Detecting Multiple Gross Errors
title_fullStr A Practical Strategy For Detecting Multiple Gross Errors
title_full_unstemmed A Practical Strategy For Detecting Multiple Gross Errors
title_sort practical strategy for detecting multiple gross errors
publisher Fakulti Ukur dan Harta Tanah
publishDate 1996
url http://eprints.utm.my/id/eprint/4880/1/APractical.pdf
http://eprints.utm.my/id/eprint/4880/
_version_ 1643644173662814208
score 13.214268

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