期刊
TECHNOMETRICS
卷 46, 期 4, 页码 452-459出版社
AMER STATISTICAL ASSOC
DOI: 10.1198/004017004000000518
关键词
gamma distribution; Gibbs sampling; hierarchical linear model; Markov chain Monte Carlo; normal distribution; predictive density; system reliability; variance components model
We consider Bayesian prediction intervals that contain a proportion of a finite number of observations with a specified probability. Such intervals arise in numerous applied contexts and are closely related to tolerance intervals. Several examples are provided to illustrate this methodology, and simulation studies are used to demonstrate potential pitfalls of using tolerance intervals when prediction intervals are required.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据