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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| Format: | Article |
| Language: | en |
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Fakulti Ukur dan Harta Tanah
1996
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| Online Access: | http://eprints.utm.my/4880/1/APractical.pdf http://eprints.utm.my/4880/ |
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| _version_ | 1845471236564451328 |
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| author | Setan, Halim |
| author_facet | Setan, Halim |
| author_sort | Setan, Halim |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.utm.eprints-4880 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 1996 |
| publisher | Fakulti Ukur dan Harta Tanah |
| record_format | eprints |
| spelling | my.utm.eprints-48802010-06-01T03:21:34Z http://eprints.utm.my/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/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 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Setan, Halim A Practical Strategy For Detecting Multiple Gross Errors |
| title | 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_short | A Practical Strategy For Detecting Multiple Gross Errors |
| title_sort | practical strategy for detecting multiple gross errors |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utm.my/4880/1/APractical.pdf http://eprints.utm.my/4880/ |
| url_provider | http://eprints.utm.my/ |