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文章基本信息

  • 标题:Lifetime models with nonconstant parameters
  • 本地全文:下载
  • 作者:J. Mazucheli ; F. Louzada-Neto ; J. Alberto Achar
  • 期刊名称:RevStat : Statistical Journal
  • 印刷版ISSN:1645-6726
  • 出版年度:2003
  • 卷号:1
  • 页码:25-39
  • 出版社:Instituto Nacional de Estatística
  • 摘要:In its standard form, a lifetime regression model usually assumes that the time until an event occurs has a constant shape parameter and a scale parameter that is a function of covariates. In this paper we consider lifetime models with shape parameter dependent on a vector of covariates. Two special models are considered, the Weibull model and a mixture model incorporating long-term survivors, when we consider that the incidence probability is also dependent on covariates. Classical parameters estimation approach is considered on two real data sets.
  • 关键词:accelerated life tests; bootstrap; long-term survivors; nonconstant shape parameter; Weibull distribution.
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