Seymour Geisser

Predictive Inference (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book presents Seymour Geisser's views on predictive or observable inference and its advantages over parametric inference. It focuses on the predictive applications of the Bayesian approach. The book also presents predictive analyses that have no real parametric analogues.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 240
• Erscheinungstermin: 22. November 2017
• Englisch
• ISBN-13: 9781351422291
• Artikelnr.: 50917308

Autorenporträt

Geisser, Seymour

Inhaltsangabe

1. Introduction 2. Non-Bayesian Predictive Approaches 3. Bayesian
prediction 4. Selecting a Statistical Model and Predicting 5. Problems of
comparison and allocation 6. Perturbation Analysis 7. Process control and
optimization 8. Screening tests for detecting a characteristic 9.
Multivariate normal prediction 10. Interim analysis and sampling
curtailment