Comparison between the Conventional Partial Least Squares (Pls) and the Robust Partial Least Squares (Rpls-Sem) Through Winsorization Approach
نویسندگان
1 Department of Statistics, Faculty of Science, Al-Zawiya University, Al-Zawiya, Libya.
2 Associate Professor, Universiti Kuala Lumpur (UniKL) Business School, Malaysia.
3 Department of Mathematics, Faculty of Science and Mathematics, University Pendidikan Sultan Idris 35900 Tanjong Malim, Perak, Malaysia.
4 Department of Statistics, Faculty of Science, Tripoli University, Tripoli, Libya.
doi
10.22059/jitm.2022.88291چکیده
This study compared the performance of the partial least squares-structural equation modelling (PLS-SEM) and the robust partial least squares -structural equation modelling (RPLS-SEM) methods through Winsorisation approach The inputs and the outputs used in this model were based on the electricity generation data, derived from the Al-Zawiya Steam Power Plant, Libya. Furthermore, the researchers compared the novel RPLS-SEM approach with the traditional PLS-SEM approach and noted that the novel RPLS-SEM method was more efficient compared to PLS-SEM.
