文章基本信息

标题：On an extreme value version of the Birnbaum-Saunders distribution
本地全文：下载
作者：Marta Ferreira ; M. Ivette Gomes ; Víctor Leiva. 等
期刊名称：RevStat : Statistical Journal
印刷版ISSN：1645-6726
出版年度：2012
卷号：10
期号：2
页码：181-210
出版社：Instituto Nacional de Estatística
摘要：The Birnbaum–Saunders model is a life distribution originated from a problem of ma-terial fatigue that has been largely studied and applied in recent decades. A randomvariable following the Birnbaum–Saunders distribution can be stochastically repre-sented by another random variable used as basis. Then, the Birnbaum–Saundersmodel can be generalized by switching the distribution of the basis variable using di-verse arguments allowing to construct more general classes of models. Extreme valuedistributions are useful to determinate the probability of events that are larger orsmaller than others previously observed. In this paper, we propose, characterize, im-plement and apply an extreme value version of the Birnbaum–Saunders distribution
关键词：domain of attraction; extreme data; likelihood method; R computer language