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Predictive Inference
Predictive Inference
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Predictive Inference

Seymour Geisser
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pages
240 pages
language
English
format
ePUB (mobile friendly)
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Predictive Inference

Seymour Geisser
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About This Book

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.

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Information

Publisher
CRC Press
Year
2017
ISBN
9781351422291
Topic
Mathematics
Subtopic
Probability & Statistics
Edition
1

Table of contents