An efficient method of identification of influential observaions in multiple linear regression and its application to real data

• Main Authors: Midi, Habshah, Hendi, Hasan Talib, Uraibi, Hassan, Arasan, Jayanthi, Ismaeel, Shelan Saied
• Format: Article
• Published: Universiti Kebangsaan Malaysia 2024
• Online Access: http://psasir.upm.edu.my/id/eprint/108928/; https://www.ukm.my/jsm/pdf_files/SM-PDF-52-12-2023/19.pdf

Influential observations (IOs) are those observations which either alone or together with several other observations have detrimental effect on the computed values of various estimates. As such, it is very important to detect their presence. Several methods have been proposed to identify IOs that in...