The performance of robust estimator on linear regression
model having both continuous and categorical variables with
heteroscedastic errors

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The performance of robust estimator on linear regression model having both continuous and categorical variables with heteroscedastic errors

The ordinary least squares (OLS) technique is often used in practice to estimate the parameters of a multiple linear regression model with both continuous and categorical variables. It has been the most popular technique due to its optimal properties and ease of computation. Nevertheless, in the pr...

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Bibliographic Details
Main Authors:	Midi, Habshah, A. Talib, Bashar
Format:	Article
Language:	English
Published:	Universiti Putra Malaysia Press 2008
Online Access:	http://psasir.upm.edu.my/id/eprint/12578/ http://psasir.upm.edu.my/id/eprint/12578/1/2.__habshah.pdf

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