Interval estimation in the presence of an outlier
Outliers are often ubiquitous in surveys that involve linear measurements. Knowing that the presence of such extreme points can grossly distort statistical analyses, most researchers are often tempted to conveniently eliminate them from the data set without much careful consideration. In this study,...
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| Format: | Article |
| Language: | English |
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Sunway University
2011
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| Online Access: | http://eprints.sunway.edu.my/386/ http://eprints.sunway.edu.my/386/1/SAJ_8_2011_26-37.pdf |
| _version_ | 1848801810716819456 |
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| author | Wong, Yoke Chen * Pooi, Ah Hin * |
| author_facet | Wong, Yoke Chen * Pooi, Ah Hin * |
| author_sort | Wong, Yoke Chen * |
| building | SU Institutional Repository |
| collection | Online Access |
| description | Outliers are often ubiquitous in surveys that involve linear measurements. Knowing that the presence of such extreme points can grossly distort statistical analyses, most researchers are often tempted to conveniently eliminate them from the data set without much careful consideration. In this study, we investigate the performance of confidence intervals for the population mean under the various probabilities of outlier being caused by uncorrectable human errors. The sample under study is randomly generated and subscribed to a normal distribution, and it contains only one outlier at one of the two extreme ends. |
| first_indexed | 2025-11-14T21:13:22Z |
| format | Article |
| id | sunway-386 |
| institution | Sunway University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:13:22Z |
| publishDate | 2011 |
| publisher | Sunway University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | sunway-3862019-05-13T08:16:13Z http://eprints.sunway.edu.my/386/ Interval estimation in the presence of an outlier Wong, Yoke Chen * Pooi, Ah Hin * QA Mathematics Outliers are often ubiquitous in surveys that involve linear measurements. Knowing that the presence of such extreme points can grossly distort statistical analyses, most researchers are often tempted to conveniently eliminate them from the data set without much careful consideration. In this study, we investigate the performance of confidence intervals for the population mean under the various probabilities of outlier being caused by uncorrectable human errors. The sample under study is randomly generated and subscribed to a normal distribution, and it contains only one outlier at one of the two extreme ends. Sunway University 2011 Article PeerReviewed text en cc_by_nd http://eprints.sunway.edu.my/386/1/SAJ_8_2011_26-37.pdf Wong, Yoke Chen * and Pooi, Ah Hin * (2011) Interval estimation in the presence of an outlier. Sunway Academic Journal, 8. pp. 26-37. ISSN 1823-500X |
| spellingShingle | QA Mathematics Wong, Yoke Chen * Pooi, Ah Hin * Interval estimation in the presence of an outlier |
| title | Interval estimation in the presence of an outlier |
| title_full | Interval estimation in the presence of an outlier |
| title_fullStr | Interval estimation in the presence of an outlier |
| title_full_unstemmed | Interval estimation in the presence of an outlier |
| title_short | Interval estimation in the presence of an outlier |
| title_sort | interval estimation in the presence of an outlier |
| topic | QA Mathematics |
| url | http://eprints.sunway.edu.my/386/ http://eprints.sunway.edu.my/386/1/SAJ_8_2011_26-37.pdf |