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.
| ISBN: | 9780367449919 |
| Publication date: | 3rd December 2019 |
| Author: | Seymour Geisser |
| Publisher: | Chapman & Hall/CRC an imprint of Taylor & Francis Ltd |
| Format: | Paperback |
| Pagination: | 240 pages |
| Series: | Chapman & Hall/CRC Monographs on Statistics and Applied Probability |
| Genres: |
Probability and statistics |
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.
Predictive Inference features in the following genres: Probability and statistics
Paperback, Ebook, Hardback. £62.09, down from the £68.99 cover price. Not Available.
Predictive Inference was written by Seymour Geisser and published by Chapman & Hall/CRC an imprint of Taylor & Francis Ltd
Predictive Inference has 240 pages
Yes it is part of Chapman & Hall/CRC Monographs on Statistics and Applied Probability series
£62.09, reduced from £68.99. Not Available.