Improving the Efficiency of Robust Estimators for the Generalized Linear Model
The distance constrained maximum likelihood procedure (DCML) optimally combines a robust estimator with the maximum likelihood estimator with the purpose of improving its small sample efficiency while preserving a good robustness level. It has been published for the linear model and is now extended...
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2021-02-01
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| Serie: | Stats |
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| Accesso online: | https://www.mdpi.com/2571-905X/4/1/8 |
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