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Robust Logistic and Probit Methods for Binary and Multinomial Regression
In this paper we introduce new robust estimators for the logistic and probit regressions for binary, multinomial, nominal and ordinal data and apply these models to estimate the parameters when outliers or inluential observations are present. Maximum likelihood estimates don't behave well when...
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| Pubblicato in: | J Biom Biostat |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2014
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4464778/ https://ncbi.nlm.nih.gov/pubmed/26078914 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4172/2155-6180.1000202 |
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