The Poisson-exponential lifetime distribution


Autoria(s): Cancho, Vicente G.; Louzada-Neto, Franscisco; Barriga, Gladys D.C.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

27/05/2014

27/05/2014

01/01/2011

Resumo

In this paper we proposed a new two-parameters lifetime distribution with increasing failure rate. The new distribution arises on a latent complementary risk problem base. The properties of the proposed distribution are discussed, including a formal proof of its probability density function and explicit algebraic formulae for its reliability and failure rate functions, quantiles and moments, including the mean and variance. A simple EM-type algorithm for iteratively computing maximum likelihood estimates is presented. The Fisher information matrix is derived analytically in order to obtaining the asymptotic covariance matrix. The methodology is illustrated on a real data set. © 2010 Elsevier B.V. All rights reserved.

Formato

677-686

Identificador

http://dx.doi.org/10.1016/j.csda.2010.05.033

Computational Statistics and Data Analysis, v. 55, n. 1, p. 677-686, 2011.

0167-9473

http://hdl.handle.net/11449/72247

10.1016/j.csda.2010.05.033

2-s2.0-77958039812

Idioma(s)

eng

Relação

Computational Statistics and Data Analysis

Direitos

closedAccess

Palavras-Chave #Complementary risks #EM algorithm #Exponential distribution #Poisson distribution #Survival analysis #Asymptotic covariance matrix #Data sets #EM algorithms #Exponential distributions #Failure rate functions #Formal proofs #Increasing failure rate #Life-time distribution #Maximum likelihood estimate #Algorithms #Bioinformatics #Covariance matrix #Distribution functions #Fisher information matrix #Maximum likelihood estimation #Probability #Probability density function #Risk analysis #Risk assessment
Tipo

info:eu-repo/semantics/article