Robust techniques for linear regression with multicollinearity and outliers

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Robust techniques for linear regression with multicollinearity and outliers

The ordinary least squares (OLS) method is the most commonly used method in multiple linear regression model due to its optimal properties and ease of computation. Unfortunately, in the presence of multicollinearity and outlying observations in a data set, the OLS estimate is inefficient with inflat...

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Bibliographic Details
Main Author:	Mohammed, Mohammed Abdulhussein
Format:	Thesis
Language:	English
Published:	2016
Subjects:	Regression analysis Multicollinearity
Online Access:	http://psasir.upm.edu.my/id/eprint/58669/ http://psasir.upm.edu.my/id/eprint/58669/1/IPM%202016%201IR%20D.pdf

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