Predictive Inference

1st Edition

Seymour Geisser

Chapman and Hall/CRC
Published June 1, 1993
Reference - 240 Pages
ISBN 9780412034718 - CAT# C3471
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability


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The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted mainly to predictive applications of the Bayesian approach. It not only substitutes predictive analyses for parametric analyses, but it also presents predictive analyses that have no real parametric analogues. It demonstrates that predictive inference can be a critical component of even strict parametric inference when dealing with interim analyses. This approach to predictive inference will be of interest to statisticians, psychologists, econometricians, and sociologists.