Improved Bayes estimators and prediction for the Wilson-Hilferty distribution.
An Acad Bras Cienc
; 91(3): e20190002, 2019 Aug 19.
Article
em En
| MEDLINE
| ID: mdl-31432908
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.
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1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
An Acad Bras Cienc
Ano de publicação:
2019
Tipo de documento:
Article