Penalized Quantile Regression Methods And Empirical Mode Decomposition For Improving The Accuracy Of The Model Selection

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Penalized Quantile Regression Methods And Empirical Mode Decomposition For Improving The Accuracy Of The Model Selection

In this study, in several scientific studies, the variables of interest are often represented by time series processes, and such time series data are frequently non-stationary and non-linear, resulting in low accuracy of the resulting regression models and less reliable conclusions. In addition, the...

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Bibliographic Details
Main Author:	Ambark, Ali Saleh Al-Massri
Format:	Thesis
Language:	English
Published:	2024
Subjects:	QA1 Mathematics (General)
Online Access:	http://eprints.usm.my/62231/ http://eprints.usm.my/62231/1/ALI%20SALEH%20AL-MASSRI%20AMBARK%20-%20TESIS%20cut.pdf

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