Predictive Inference (Hardcover, Softcover Repri)

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.

General

Imprint:	Chapman & Hall/CRC
Country of origin:	United States
Series:	Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Release date:	June 1993
First published:	1993
Authors:	Seymour Geisser
Dimensions:	280 x 210 x 20mm (L x W x T)
Format:	Hardcover
Pages:	282
Edition:	Softcover Repri
ISBN-13:	978-0-412-03471-8
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	0-412-03471-9
Barcode:	9780412034718

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