Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
417702 | Computational Statistics & Data Analysis | 2011 | 10 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Vicente G. Cancho, Franscisco Louzada-Neto, Gladys D.C. Barriga,