Testing inference in accelerated failure time models

Medeiros, Francisco M. C.; Silva-Júnior, Antônio H. M. da; Valença, Dione M.; Ferrari, Silvia L. P.

Testing inference in accelerated failure time models

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dc.contributor.author	Medeiros, Francisco M. C.
dc.contributor.author	Silva-Júnior, Antônio H. M. da
dc.contributor.author	Valença, Dione M.
dc.contributor.author	Ferrari, Silvia L. P.
dc.date.accessioned	2019-05-17T13:13:42Z
dc.date.available	2019-05-17T13:13:42Z
dc.date.issued	2014-04
dc.description.resumo	We address the issue of performing hypothesis testing in accelerated failure time models for non-censored and censored samples. The performances of the likelihood ratio test and a recently proposed test, the gradient test, are compared through simulation. The gradient test features the same asymptotic properties as the classical large sample tests, namely, the likelihood ratio, Wald and score tests. Additionally, it is as simple to compute as the likelihood ratio test. Unlike the score and Wald tests, the gradient test does require the computation of the information matrix, neither observed nor expected. Our study suggests that the	pt_BR
dc.identifier.citation	MEDEIROS, Francisco M. C. et al . Testing inference in accelerated failure time models. International Journal of Statistics and Probability, v. 3, n.2, p. 121-131, 2014. Disponível em: <http://ccsenet.org/journal/index.php/ijsp/article/view/35111>. Acesso em 06 dez. 2017.	pt_BR
dc.identifier.doi	10.5539/ijsp.v3n2p121
dc.identifier.issn	1927-7040
dc.identifier.uri	https://repositorio.ufrn.br/jspui/handle/123456789/27093
dc.language	pt_BR	pt_BR
dc.publisher	Canadian Center of Science and Education	pt_BR
dc.rights	Acesso Aberto	pt_BR
dc.subject	Accelerated failure time models	pt_BR
dc.subject	Gradient test	pt_BR
dc.subject	Likelihood ratio test	pt_BR
dc.subject	Random censoring	pt_BR
dc.title	Testing inference in accelerated failure time models	pt_BR
dc.type	article	pt_BR