| dc.contributor | Universitat de Vic. Escola Politècnica Superior | |
| dc.contributor | Universitat de Vic. Facultat d'Empresa i Comunicació | |
| dc.contributor.author | Gómez, Guadalupe | |
| dc.contributor.author | Calle, M. Luz | |
| dc.contributor.author | Oller, Ramon | |
| dc.date.accessioned | 2014-03-20T10:53:32Z | |
| dc.date.available | 2014-03-20T10:53:32Z | |
| dc.date.created | 2004 | |
| dc.date.issued | 2004 | |
| dc.identifier.citation | Gomez, G., Calle Rosingana, M. L., & Oller Piquer, R. (2004). Frequentist and bayesian approaches for interval-censored data. Statistical Papers, 45(2), 139-173. | ca_ES |
| dc.identifier.uri | http://hdl.handle.net/10854/2791 | |
| dc.description.abstract | Interval censoring appears when the event of interest is only known to have occurred
within a random time interval. Estimation and hypothesis testing procedures
for interval-censored data are surveyed. We distinguish between frequentist
and Bayesian approaches. Computational aspects for every proposed method
are described and solutions with S-Plus, whenever are feasible, are mentioned.
Three real data sets are analyzed. | ca_ES |
| dc.format | application/pdf | |
| dc.format.extent | 35 p. | ca_ES |
| dc.language.iso | eng | ca_ES |
| dc.publisher | Springer | ca_ES |
| dc.rights | (c) Springer (The original publication is available at www.springerlink.com) | |
| dc.rights | Tots els drets reservats | ca_ES |
| dc.subject.other | Estadística bayesiana | ca_ES |
| dc.title | Frequentist and Bayesian approaches for interval-censored data | ca_ES |
| dc.type | info:eu-repo/semantics/article | ca_ES |
| dc.identifier.doi | https://doi.org/10.1007/BF02777221 | |
| dc.relation.publisherversion | http://link.springer.com/article/10.1007%2FBF02777221 | |
| dc.rights.accessRights | info:eu-repo/semantics/closedAccess | ca_ES |
| dc.type.version | info:eu-repo/publishedVersion | ca_ES |
| dc.indexacio | Indexat a SCOPUS | |
| dc.indexacio | Indexat a WOS/JCR | ca_ES |
