Enhancing Model Selection Based On Penalized Regression Methods And Empirical Mode Decomposition

In this study, the penalized regularization methods, namely, the smoothly clipped absolute deviation (SCAD), adaptive least absolute shrinkage and selection operator (adLASSO) regression, minimax concave penalty (MCP) and elastic net (ELNET) regression, are adopted. Those methods are combined with t...

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Bibliographic Details
Main Author:	Al Jawarneh, Abdullah Suleiman Saleh
Format:	Thesis
Language:	English
Published:	2021
Subjects:	QA1 Mathematics (General)
Online Access:	http://eprints.usm.my/51620/

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