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...

詳細記述

書誌詳細

第一著者:	Al Jawarneh, Abdullah Suleiman Saleh
フォーマット:	学位論文
言語:	英語
出版事項:	2021
主題:	QA1 Mathematics (General)
オンライン･アクセス:	http://eprints.usm.my/51620/