Applied Bayesian and Classical Inference: The Case of the Federalist Papers (Springer Series in Statistics)

F. Mosteller

ISBN 10: 1461297591 / ISBN 13: 9781461297598

Published by Springer New York, 2011

About this Item

2nd edition. 303 pages. 9.20x6.10x0.80 inches. In Stock.

Seller Inventory # x-1461297591

Bibliographic Details

• Title: Applied Bayesian and Classical Inference: The Case of the Federalist Papers (Springer Series in Statistics)
• Publisher: Springer New York
• Publication Date: 2011
• Language: English
• ISBN 10: 1461297591
• ISBN 13: 9781461297598
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

The new version has two additions. First, at the suggestion of Stephen Stigler I we have replaced the Table of Contents by what he calls an Analytic Table of Contents. Following the title of each section or subsection is a description of the content of the section. This material helps the reader in several ways, for example: by giving a synopsis of the book, by explaining where the various data tables are and what they deal with, by telling what theory is described where. We did several distinct full studies for the Federalist papers as well as many minor side studies. Some or all may offer information both to the applied and the theoretical reader. We therefore try to give in this Contents more than the few cryptic words in a section heading to ~peed readers in finding what they want. Seconq, we have prepared an extra chapter dealing with authorship work published from. about 1969 to 1983. Although a chapter cannot compre­ hensively Gover a field where many books now appear, it can mention most ofthe book-length works and the main thread of authorship' studies published in English. We founq biblical authorship studies so extensive and com­ plicated that we thought it worthwhile to indicate some papers that would bring out the controversies that are taking place. We hope we have given the flavor of developments over the 15 years mentioned. We have also corrected a few typographical errors.