Essentials of Statistical Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 16) - Hardcover

Young, G. A.; Smith, R. L.

Hardcover

ISBN 10: 0521839718 ISBN 13: 9780521839716

Publisher: Cambridge University Press, 2005

Synopsis

This textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference, with particular emphasis on the contrasts between them. Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, it covers basic mathematical theory as well as more advanced material, including such contemporary topics as Bayesian computation, higher-order likelihood theory, predictive inference, bootstrap methods, and conditional inference.

About this title

Book Description:

This engaging textbook introduces the key ideas behind drawing formal inferences from data. Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, it is a concise account of the main approaches to inference, with particular emphasis on the contrasts between them. It is the first textbook to synthesize contemporary material on computational topics with basic mathematical theory. Numerous extended examples apply formal inference techniques to real data, while historical commentary sketches the development of the subject. Each chapter ends with a set of accessible problems.

About the Author:

G. A. Young is Professor of Statistics at Imperial College London.

R. L. Smith is Mark L. Reed Distinguished Professor of Statistics at the University of North Carolina, Chapel Hill.

About this edition

• Publisher: Cambridge University Press
• Publication date: 2005
• ISBN 10: 0521839718
• ISBN 13: 9780521839716
• Binding: Hardcover
• Number of pages: 236