Robust M-estimators and Machine Learning Algorithms for Improving the Predictive Accuracy of Seaweed Contaminated Big Data
A common problem in regression analysis using ordinary least squares (OLS) is the effect of outliers or contaminated data on the estimates of the parameters. A robust method that is not sensitive to outliers and can handle contaminated data is needed. In this study, the objective is to determine th...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Nigerian Society of Physical Sciences
2023-02-01
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Series: | Journal of Nigerian Society of Physical Sciences |
Subjects: | |
Online Access: | https://www.journal.nsps.org.ng/index.php/jnsps/article/view/1137 |