The application of simple errors in variables model on real data

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The application of simple errors in variables model on real data

The Ordinary Least Squares (OLS) method is the most widely used method to estimate the parameters of regression model. One of the critical assumption of the OLS estimation method is that the regression variables are measured without error. However, in many practical situations this assumption is of...

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Bibliographic Details
Main Authors:	Mohammadi, Mandana, Midi, Habshah, Rana, Sohel, Arasan, Jayanthi
Format:	Conference or Workshop Item
Published:	IEEE
Online Access:	http://psasir.upm.edu.my/id/eprint/39573/

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