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.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.issn	Print ISSN: 0018-9448, Electronic ISSN: 1557-9654
dc.identifier.uri	https://hdl.handle.net/10115/27627
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.language.iso	eng	es
dc.publisher	IEEE	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
dc.identifier.doi	10.1109/TIT.2022.3187063	es
dc.rights.accessRights	info:eu-repo/semantics/embargoedAccess	es