Predictive Inference ― An Introduction

Discusses a variety of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, but is mainly devoted to predictive applications of the Bayesian approach. Not only substitutes predictive analysis for parametric analysis, but also presents predictive analyses that have no real parametric analogues. Also demonstrates that predictive inference can be a critical component of even strict parametric inference when dealing with interim analysis. Annotation copyright Book News, Inc. Portland, Or.