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DC Field | Value | Language |
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dc.contributor.author | Cancho, Vicente G. | - |
dc.contributor.author | Ortega, Edwin M. M. | - |
dc.contributor.author | Barriga, Gladys Dorotea Cacsire | - |
dc.contributor.author | Hashimoto, Elizabeth M. | - |
dc.date.accessioned | 2014-05-20T13:27:10Z | - |
dc.date.accessioned | 2016-10-25T16:47:08Z | - |
dc.date.available | 2014-05-20T13:27:10Z | - |
dc.date.available | 2016-10-25T16:47:08Z | - |
dc.date.issued | 2011-01-01 | - |
dc.identifier | http://dx.doi.org/10.1080/00949655.2010.491827 | - |
dc.identifier.citation | Journal of Statistical Computation and Simulation. Abingdon: Taylor & Francis Ltd, v. 81, n. 11, p. 1461-1481, 2011. | - |
dc.identifier.issn | 0094-9655 | - |
dc.identifier.uri | http://hdl.handle.net/11449/8861 | - |
dc.identifier.uri | http://acervodigital.unesp.br/handle/11449/8861 | - |
dc.description.abstract | In this paper, we proposed a flexible cure rate survival model by assuming the number of competing causes of the event of interest following the Conway-Maxwell distribution and the time for the event to follow the generalized gamma distribution. This distribution can be used to model survival data when the hazard rate function is increasing, decreasing, bathtub and unimodal-shaped including some distributions commonly used in lifetime analysis as particular cases. Some appropriate matrices are derived in order to evaluate local influence on the estimates of the parameters by considering different perturbations, and some global influence measurements are also investigated. Finally, data set from the medical area is analysed. | en |
dc.format.extent | 1461-1481 | - |
dc.language.iso | eng | - |
dc.publisher | Taylor & Francis Ltd | - |
dc.source | Web of Science | - |
dc.subject | COM-Poisson distributions | en |
dc.subject | cure fraction models | en |
dc.subject | generalized gamma distributions | en |
dc.subject | sensitivity analysis | en |
dc.subject | lifetime data | en |
dc.title | The Conway-Maxwell-Poisson-generalized gamma regression model with long-term survivors | en |
dc.type | outro | - |
dc.contributor.institution | Universidade de São Paulo (USP) | - |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | - |
dc.description.affiliation | ESALQ USP, Dept Ciencias Exatas, Piracicaba, Brazil | - |
dc.description.affiliation | ICMC USP, Dept Matemat Aplicada & Estat, BR-13560970 São Carlos, SP, Brazil | - |
dc.description.affiliation | FEB UNESP, Dept Prod Engn, Bauru, Brazil | - |
dc.description.affiliationUnesp | FEB UNESP, Dept Prod Engn, Bauru, Brazil | - |
dc.identifier.doi | 10.1080/00949655.2010.491827 | - |
dc.identifier.wos | WOS:000299726700008 | - |
dc.rights.accessRights | Acesso restrito | - |
dc.relation.ispartof | Journal of Statistical Computation and Simulation | - |
Appears in Collections: | Artigos, TCCs, Teses e Dissertações da Unesp |
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