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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Main Authors: Okwonu, Friday Zinzendoff, Md Yusof, Zahayu
Format: Article
Language:English
Published: IOP Publishing 2019
Subjects:
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
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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
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