首页 | 本学科首页   官方微博 | 高级检索  
     检索      


A Multivariate Model for Repeated Failure Time Measurements
Authors:Martin Crowder
Institution:University of Surrey
Abstract:A parametric multivariate failure time distribution is derived from a frailty-type model with a particular frailty distribution. It covers as special cases certain distributions which have been used for multivariate survival data in recent years. Some properties of the distribution are derived: its marginal and conditional distributions lie within the parametric family, and association between the component variates can be positive or, to a limited extent, negative. The simple closed form of the survivor function is useful for right-censored data, as occur commonly in survival analysis, and for calculating uniform residuals. Also featured is the distribution of ratios of paired failure times. The model is applied to data from the literature
Keywords:failure times  frailty models  mixture distributions  multivariate Burr distribution  multivariate Weibull distribution  paired lifetimes  random effects  reliability models  repeated measures  survival analysis
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号