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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Putra Malaysia Press
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/12578/ http://psasir.upm.edu.my/id/eprint/12578/ http://psasir.upm.edu.my/id/eprint/12578/1/2.__habshah.pdf |