A New Robust Approach for Multinomial Logistic Regression With Complex Design Model
| dc.contributor.author | Elena, Castilla | |
| dc.contributor.author | Pedro J., Chocano | |
| dc.date.accessioned | 2023-12-21T09:43:01Z | |
| dc.date.available | 2023-12-21T09:43:01Z | |
| dc.date.issued | 2022-06-29 | |
| dc.description.abstract | Robust estimators and Wald-type tests are developed for the multinomial logistic regression based on ϕ -divergence measures. We compute the influence function of the proposed estimators and tests and discuss some consequences. Their robustness is illustrated by an extensive simulation study and two real examples. | es |
| dc.identifier.citation | A new robust approach for multinomial logistic regression with complex design model. IEEE Trans. Inf. Theory, 68(11), 7379-7395 , 2022 | es |
| dc.identifier.doi | 10.1109/TIT.2022.3187063 | es |
| dc.identifier.issn | Print ISSN: 0018-9448, Electronic ISSN: 1557-9654 | |
| dc.identifier.uri | https://hdl.handle.net/10115/27627 | |
| dc.language.iso | eng | es |
| dc.publisher | IEEE | es |
| dc.rights.accessRights | info:eu-repo/semantics/embargoedAccess | es |
| dc.subject | Matemáticas | es |
| dc.title | A New Robust Approach for Multinomial Logistic Regression With Complex Design Model | es |
| dc.type | info:eu-repo/semantics/article | es |
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