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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Predictive Inference

Predictive Inference

Geisser, Seymour

Paperback

Series: Chapman & Hall/CRC Monographs on Statistics and Applied Prob

Probability & Statistics

ISBN10: 0367449919
ISBN13: 9780367449919
Publisher: CRC Press
Published: Dec 3 2019
Pages: 276
Weight: 0.71
Height: 0.58 Width: 5.50 Depth: 8.50
Language: English
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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