Essentials of Statistical Inference

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.

Author: G. A. Young, R. L. Smith
Publisher: Cambridge University Press
Published: 03/29/2010
Pages: 225
Binding Type: Paperback
Weight: 0.97lbs
Size: 9.80h x 6.90w x 0.70d
ISBN: 9780521548663

About the Author
Smith, R. L.: - R. L. Smith is Mark L. Reed Distinguished Professor of Statistics at the University of North Carolina, Chapel Hill.Young, G. A.: - G. A. Young is Professor of Statistics at Imperial College London.