title: On hierarchical Bayes procedures for predicting simple exponential survival.
abstract: The situation considered is the prediction of a future observation from a simple exponential survival distribution in a hierarchical Bayes context. It is shown that when the hyperparameters need to be estimated from the data, a sample reuse approach is superior to maximum likelihood and method of moments estimation procedures.
authors.affiliation: School of Statistics, University of Minnesota, Minneapolis 55455.
authors.forename: S
authors.initials: S
authors.lastname: Geisser
mesh_terms: D001499:Bayes Theorem; D016013:Likelihood Functions; D011336:Probability; D016019:Survival Analysis