Frequentist and Bayesian approaches for interval-censored data

Gómez, Guadalupe; Calle, M. Luz; Oller, Ramon

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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