Comparative Statistical Inference 2e Second Edition

Barnett, Vic

ISBN 10: 0471100765 / ISBN 13: 9780471100768

Published by John Wiley & Sons, New York, 1973

About this Item

325pp. Navy cloth with gold lettering. Two vertical creasess to cover, but cover solid, nonetheless; top front and back corners bumped, but not frayed or rubbed; rear cover slightly bowed; text block and spine solid, clean. Dustwrapper bright green with white lettering and with Cartesian coordinates plotted white curves and lines with dark and light gold under curves and lines.

Seller Inventory # 001114

Bibliographic Details

• Title: Comparative Statistical Inference 2e Second Edition
• Publisher: John Wiley & Sons, New York
• Publication Date: 1973
• Language: English
• ISBN 10: 0471100765
• ISBN 13: 9780471100768
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: Good

About this title

Synopsis

Provides a general, cross-sectional view of statistical inference and decision-making. Constructs a rational, composite theory for the way individuals react, or should react, stressing interrelationships and conceptual conflicts. Traces the range of different definitions and interpretations of the probability concepts which underlie different approaches to statistical inference and decision-making. Outlines utility theory and its implications for general decision-making. Discusses the Neyman-Pearson approach, Bayesian methods, and Decision Theory. Pays particular attention to the basic concepts of probability, utility, likelihood, sufficiency, conjugacy, and admissibility, both within and between the different approaches.

From the Back Cover

Much has happened in the field of inference and decision making during the past decade or so. This fully updated and revised third edition of Comparative Statistical Inference presents a wide ranging, balanced account of the fundamental issues across the full spectrum of inference and decision making. As in earlier editions, the material is set in a historical context to more powerfully illustrate the ideas and concepts.

• Includes fully updated and revised material from the successful second edition
• Discusses all recent major developments
• Particular attention is given to the nature and importance of basic concepts (probability, utility, likelihood, etc.)
• Includes extensive references and bibliograph

Recent changes in emphasis, principle and methodology are carefully explained and evaluated. These include major developments in the use of modified forms of the likelihood function, the computational and interpretative advantages opened up by the Gibbs sampler and Markov Chain Monte Carlo methods, advances in predictive methods in classical Bayesian contexts (including the prequential approach) and broader incorporation of multiparameter issues. With the many additions and changes, the essence of this successful book remains unchanged providing the reader with a thorough explanation of the many approaches to inference and decision making.