Main Article Content
Abstract
Outliers in a statistical analysis strongly affect the performance of the ordinary least squares, such outliers need to be detected and extreme outliers deleted. Thisp is aimed at proposing a Redescending M-estimator which is more efficient and robust compared to other existing methods. The results show that the proposed method is effective in detection and deletion of extreme outliers compared to the other existing ones.
Keywords
Efficiency
M-estimator
Redescending M-estimator
OUtliers
Robustness
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How to Cite
Anekwe, S., & Onyeagu, S. (2021). The Redescending M estimator For detection and deletion of Outliers in Regression analysis. Pakistan Journal of Statistics and Operation Research, 17(4), 997-1014. https://doi.org/10.18187/pjsor.v17i4.3546
References
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