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Publication Type : Journal Article
Publisher : Communications in Statistics - Theory and Methods
Source : Communications in Statistics - Theory and Methods, 2023
Url : https://www.tandfonline.com/doi/abs/10.1080/03610926.2023.2218567
Campus : Coimbatore
School : School of Physical Sciences
Department : Mathematics
Year : 2023
Abstract : Classical estimators fail to be efficient in practical scenarios when data is riddled with extreme values known as outliers. Robust estimation strategies are insensitive to outliers and may be used in such cases. The current work is focused on developing a novel robust estimation strategy using Huber M-estimation. A new chain-product type estimator for population mean has been suggested utilizing data on two auxiliary variables. A numerical comparison has been carried out between the proposed robust estimator and the corresponding classical estimator using real and simulated data containing outliers. Recommendations have been made for its practical use based on the encouraging results.
Cite this Research Publication : Singh, G. N., Bhattacharyya, D., & Bandyopadhyay, A. (2023). Robust estimation strategy for handling outliers, Communications in Statistics - Theory and Methods. DOI: https://doi.org/10.1080/03610926.2023.2218567 (SCI)