Essentials Of Statistical Inference (Cambridge Series In Statistical And Probabilistic Mathematics, Series Number 16)

G. A. Young (Author), R. L. Smith (Author)

ISBN 10: 0521839718 / ISBN 13: 9780521839716

Published by Cambridge University Press; Illustrated edition (July 25, 2005), 2005

About this Item

ISBN 0521839718. Hardback. No dustjacket. Bound in Pictorial Boards. Near Fine condition. Tight bright attractive copy with no markings to the book. As new condition. This book is Essentials of Statistical Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 16). Seller Inventory # 222814

Bibliographic Details

Title: Essentials Of Statistical Inference (...

Publisher: Cambridge University Press; Illustrated edition (July 25, 2005)

Publication Date: 2005

Binding: Hardcover

Condition: Very Good

Dust Jacket Condition: No Dustjacket

Signed: No Signature

Edition: First Edition.

About this title

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.

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.