Matching Conditions for Predicting the Random Effects in ANOVA Models

  • Chang, In-Hong (Department of Computer Science and Statistics, Chosun University)
  • Published : 2006.04.28

Abstract

We consider the issue of Bayesian prediction of the unobservable random effects, And we characterize priors that ensure approximate frequentist validity of posterior quantiles of unobservable random effects. Finally we show that the probability matching criteria for prediction of unobservable random effects in one-way random ANOVA model.

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