The Poisson-exponential distribution: a Bayesian approach


Autoria(s): Louzada-Neto, Francisco; Cancho, Vicente G.; Barriga, Gladys Dorotea Cacsire
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

01/01/2011

Resumo

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

In this paper, we proposed a new two-parameter lifetime distribution with increasing failure rate. The new distribution arises on a latent complementary risk scenario. The properties of the proposed distribution are discussed, including a formal proof of its density function and an explicit algebraic formulae for its quantiles and survival and hazard functions. Also, we have discussed inference aspects of the model proposed via Bayesian inference by using Markov chain Monte Carlo simulation. A simulation study investigates the frequentist properties of the proposed estimators obtained under the assumptions of non-informative priors. Further, some discussions on models selection criteria are given. The developed methodology is illustrated on a real data set.

Formato

1239-1248

Identificador

http://dx.doi.org/10.1080/02664763.2010.491862

Journal of Applied Statistics. Abingdon: Routledge Journals, Taylor & Francis Ltd, v. 38, n. 6, p. 1239-1248, 2011.

0266-4763

http://hdl.handle.net/11449/41726

10.1080/02664763.2010.491862

WOS:000288670000009

Idioma(s)

eng

Publicador

Routledge Journals, Taylor & Francis Ltd

Relação

Journal of Applied Statistics

Direitos

closedAccess

Palavras-Chave #Bayesian inference #complementary risks #exponential distribution #Poisson distribution #survival analysis
Tipo

info:eu-repo/semantics/article