Robust Regression with Continuous and Categorical Variables Having Heteroscedastic Non-Normal Errors
The performance of the classical Ordinary Least Squares (OLS) method can be very poor when the data set for which one often makes a normal assumption, has a heavy- tailed distribution which may arise as a result of outliers. The problem is further complicated when the variances of the error terms a...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2006
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| Online Access: | http://psasir.upm.edu.my/id/eprint/546/1/600391_fs_2006_52_abstrak_je__dh_pdf_.pdf http://psasir.upm.edu.my/id/eprint/546/ |
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