Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/32440
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Moreira, Carla | por |
dc.contributor.author | Uña-Álvarez, Jacobo de | por |
dc.contributor.author | Keilegom, Ingrid van | por |
dc.date.accessioned | 2015-01-07T11:16:35Z | - |
dc.date.available | 2015-01-07T11:16:35Z | - |
dc.date.issued | 2014-10 | - |
dc.identifier.issn | 0943-4062 | por |
dc.identifier.uri | https://hdl.handle.net/1822/32440 | - |
dc.description.abstract | Doubly truncated data are commonly encountered in areas like medicine, astronomy, economics, among others. A semiparametric estimator of a doubly truncated random variable may be computed based on a parametric specification of the distribution function of the truncation times. This semiparametric estimator outperforms the nonparametric maximum likelihood estimator when the parametric information is correct, but might behave badly when the assumed parametric model is far off. In this paper we introduce several goodness-of-fit tests for the parametric model. The proposed tests are investigated through simulations. For illustration purposes, the tests are also applied to data on the induction time to acquired immune deficiency syndrome for blood transfusion patients. | por |
dc.description.sponsorship | FCT | por |
dc.description.sponsorship | FEDER | por |
dc.description.sponsorship | IAP | por |
dc.language.iso | eng | por |
dc.publisher | Springer | por |
dc.rights | restrictedAccess | por |
dc.subject | Bootstrap | por |
dc.subject | Survival analysis | por |
dc.subject | Truncated data | por |
dc.title | Goodness-of-fit tests for a semiparametric model under random double truncation | por |
dc.type | article | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | http://link.springer.com/journal/180 | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 1365 | por |
oaire.citationEndPage | 1379 | por |
oaire.citationIssue | 5 | por |
oaire.citationTitle | Computational Statistics | por |
oaire.citationVolume | 29 | por |
dc.identifier.doi | 10.1007/s00180-014-0496-z | por |
dc.subject.fos | Ciências Naturais::Matemáticas | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Computational Statistics | por |
Aparece nas coleções: | CMAT - Artigos em revistas com arbitragem / Papers in peer review journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
GOF_Rep.pdf Acesso restrito! | Documento principal | 243,45 kB | Adobe PDF | Ver/Abrir |