Robust estimators in logistic regression: A comparative simulation study
The maximum likelihood estimator (MLE) is commonly used to estimate the parameters of logistic regression models due to its efficiency under a parametric model. However, evidence has shown the MLE has an unduly effect on the parameter estimates in the presence of outliers. Robust methods are put for...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wayne State University
2010
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |