Performance Analysis of Robust Locations Estimators
This paper describes novel computational procedures that reduces the influence of outliers by transformational process. It transforms the influential observations to moderate data points. The procedures utilize all the information contained in the data set. These techniques are compared with the exi...
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Format: | Article |
Language: | English |
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IOP Publishing
2019
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Online Access: | https://repo.uum.edu.my/id/eprint/30924/1/JPCS%201529%202019%2001-13.pdf |
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author | Okwonu, Friday Zinzendoff Md Yusof, Zahayu |
author_facet | Okwonu, Friday Zinzendoff Md Yusof, Zahayu |
author_sort | Okwonu, Friday Zinzendoff |
collection | UUM |
description | This paper describes novel computational procedures that reduces the influence of outliers by transformational process. It transforms the influential observations to moderate data points. The procedures utilize all the information contained in the data set. These techniques are compared with the existing robust procedures, such as the weighted mean based on Mahalanobis distance, minimum covariance determinant (MCD), trimmed and winsorized mean. The performance analysis showed that the proposed techniques performed comparably with the wellestablished robust procedures based on the real data set |
first_indexed | 2024-07-04T06:46:50Z |
format | Article |
id | uum-30924 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T06:46:50Z |
publishDate | 2019 |
publisher | IOP Publishing |
record_format | eprints |
spelling | uum-309242024-06-23T09:23:20Z https://repo.uum.edu.my/id/eprint/30924/ Performance Analysis of Robust Locations Estimators Okwonu, Friday Zinzendoff Md Yusof, Zahayu QA Mathematics This paper describes novel computational procedures that reduces the influence of outliers by transformational process. It transforms the influential observations to moderate data points. The procedures utilize all the information contained in the data set. These techniques are compared with the existing robust procedures, such as the weighted mean based on Mahalanobis distance, minimum covariance determinant (MCD), trimmed and winsorized mean. The performance analysis showed that the proposed techniques performed comparably with the wellestablished robust procedures based on the real data set IOP Publishing 2019 Article PeerReviewed application/pdf en cc_by https://repo.uum.edu.my/id/eprint/30924/1/JPCS%201529%202019%2001-13.pdf Okwonu, Friday Zinzendoff and Md Yusof, Zahayu (2019) Performance Analysis of Robust Locations Estimators. Journal of Physics: Conference Series, 1529. pp. 1-13. ISSN 1742-6588 https://iopscience.iop.org/article/10.1088/1742-6596/1529/4/042095 10.1088/1742-6596/1529/4/042095 10.1088/1742-6596/1529/4/042095 10.1088/1742-6596/1529/4/042095 |
spellingShingle | QA Mathematics Okwonu, Friday Zinzendoff Md Yusof, Zahayu Performance Analysis of Robust Locations Estimators |
title | Performance Analysis of Robust Locations Estimators |
title_full | Performance Analysis of Robust Locations Estimators |
title_fullStr | Performance Analysis of Robust Locations Estimators |
title_full_unstemmed | Performance Analysis of Robust Locations Estimators |
title_short | Performance Analysis of Robust Locations Estimators |
title_sort | performance analysis of robust locations estimators |
topic | QA Mathematics |
url | https://repo.uum.edu.my/id/eprint/30924/1/JPCS%201529%202019%2001-13.pdf |
work_keys_str_mv | AT okwonufridayzinzendoff performanceanalysisofrobustlocationsestimators AT mdyusofzahayu performanceanalysisofrobustlocationsestimators |