Description: 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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EAN: 9780367449919
UPC: 9780367449919
ISBN: 9780367449919
MPN: N/A
Book Title: Predictive Inference (Chapman & Hall/CRC Monograph
Item Length: 21.6 cm
Item Height: 216 mm
Item Width: 138 mm
Author: Seymour Geisser
Publication Name: Predictive Inference
Format: Paperback
Language: English
Publisher: Taylor & Francis Ltd
Subject: Mathematics
Publication Year: 2019
Type: Textbook
Item Weight: 336 g
Number of Pages: 240 Pages
