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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.creator | Statti, María Florencia | - |
| dc.creator | Sued, Raquel Mariela | - |
| dc.creator | Yohai, Victor Jaime | - |
| dc.date | 2018-09-17T20:33:23Z | - |
| dc.date | 2018-09-17T20:33:23Z | - |
| dc.date | 2018-11 | - |
| dc.date | 2018-09-17T19:37:18Z | - |
| dc.date.accessioned | 2019-04-29T15:50:25Z | - |
| dc.date.available | 2019-04-29T15:50:25Z | - |
| dc.date.issued | 2018-11 | - |
| dc.identifier | Statti, María Florencia; Sued, Raquel Mariela; Yohai, Victor Jaime; High breakdown point robust estimators with missing data; Taylor; Communications In Statistics-theory And Methods; 47; 21; 11-2018; 5145-5162 | - |
| dc.identifier | 0361-0926 | - |
| dc.identifier | http://hdl.handle.net/11336/59978 | - |
| dc.identifier | 1532-415X | - |
| dc.identifier | CONICET Digital | - |
| dc.identifier | CONICET | - |
| dc.identifier.uri | http://rodna.bn.gov.ar:8080/jspui/handle/bnmm/303419 | - |
| dc.description | In this paper, we propose a new procedure to estimate the distribution of a variable y when there are missing data. To compensate the presence of missing responses, it is assumed that a covariate vector x is observed and that y and x are related by means of a semi-parametric regression model. Observed residuals are combined with predicted values to estimate the missing response distribution. Once the responses distribution is consistently estimated, we can estimate any parameter defined through a continuous functional T using a plug in procedure. We prove that the proposed estimators have high breakdown point. | - |
| dc.description | Fil: Statti, María Florencia. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | - |
| dc.description | Fil: Sued, Raquel Mariela. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | - |
| dc.description | Fil: Yohai, Victor Jaime. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Matemática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.language | eng | - |
| dc.publisher | Taylor | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/03610926.2017.1388396 | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/abs/10.1080/03610926.2017.1388396 | - |
| dc.rights | info:eu-repo/semantics/restrictedAccess | - |
| dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | - |
| dc.source | reponame:CONICET Digital (CONICET) | - |
| dc.source | instname:Consejo Nacional de Investigaciones Científicas y Técnicas | - |
| dc.source | instacron:CONICET | - |
| dc.subject | ASYMPTOTIC DISTRIBUTION | - |
| dc.subject | BREAKDOWN POINT | - |
| dc.subject | LOCATION AND DISPERSION FUNCTIONALS | - |
| dc.subject | MISSING AT RANDOM | - |
| dc.subject | QUANTILES | - |
| dc.subject | Matemática Pura | - |
| dc.subject | Matemáticas | - |
| dc.subject | CIENCIAS NATURALES Y EXACTAS | - |
| dc.title | High breakdown point robust estimators with missing data | - |
| dc.type | info:eu-repo/semantics/article | - |
| dc.type | info:eu-repo/semantics/publishedVersion | - |
| dc.type | info:ar-repo/semantics/articulo | - |
| Aparece en las colecciones: | CONICET | |
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