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

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

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...

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Bibliographic Details
Main Authors:	Habshah Mid, Hasan Talib Hendi, Uraibi, Hassan, Jayanthi Arasan, Ismaeel, Shelan Saied
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2023
Online Access:	http://journalarticle.ukm.my/23368/ http://journalarticle.ukm.my/23368/1/SD%2019.pdf

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