title: The Lindley distribution applied to competing risks lifetime data.
abstract: Competing risks data usually arises in studies in which the death or failure of an individual or an item may be classified into one of k ≥ 2 mutually exclusive causes. In this paper a simple competing risks distribution is proposed as a possible alternative to the Exponential or Weibull distributions usually considered in lifetime data analysis. We consider the case when the competing risks have a Lindley distribution. Also, we assume that the competing events are uncorrelated and that each subject can experience only one type of event at any particular time.
authors.affiliation: Universidade Estadual de Maringá, DEs, PR, Brazil. jmazucheli@gmail.com
authors.forename: Josmar
authors.initials: J
authors.lastname: Mazucheli
authors.forename: Jorge A
authors.initials: JA
authors.lastname: Achcar
mesh_terms: D008962:Models, Theoretical; D012306:Risk