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Predictive Inference

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Predictive Inference Synopsis

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.

About This Edition

ISBN: 9780367449919
Publication date:
Author: Seymour Geisser
Publisher: Chapman & Hall/CRC an imprint of Taylor & Francis Ltd
Format: Paperback
Pagination: 240 pages
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Genres: Probability and statistics

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