Data/hora: 09/06/2024 01:15:29

Provedor de dados: 	42	
País: 	Brazil	
Título: 	Improved Bayes estimators and prediction for the Wilson-Hilferty distribution	
Autores: 	RAMOS,PEDRO L.; ALMEIDA,MARCO P.; TOMAZELLA,VERA L.D.; LOUZADA,FRANCISCO.	
Data: 	2019-01-01	
Ano: 	2019	
Palavras-chave: 	Bayesian analysis; Bayesian prediction; Censored data; Objective prior; Wilson-Hilferty distribution.	
Resumo: 	Abstract: In this paper, we revisit the Wilson-Hilferty distribution and presented its mathematical properties such as the r-th moments and reliability properties. The parameters estimators are discussed using objective reference Bayesian analysis for both complete and censored data where the resulting marginal posterior intervals have accurate frequentist coverage. A simulation study is presented to compare the performance of the proposed estimators with the frequentist approach where it is observed a clear advantage for the Bayesian method. Finally, the proposed methodology is illustrated on three real datasets.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000500202	
Editor: 	Academia Brasileira de Ciências	
Relação: 	10.1590/0001-3765201920190002	
Formato: 	text/html	
Fonte: 	Anais da Academia Brasileira de Ciências  v.91 n.3 2019	
Fonte: 	info:eu-repo/semantics/openAccess