Essentials of Statistical Inference
By G.A. Young
2005
First Published
4.00
Average Rating
236
Number of Pages
Part of Series
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.
Avg Rating
4.00
Number of Ratings
10
5 STARS
30%
4 STARS
40%
3 STARS
30%
2 STARS
0%
1 STARS
0%
goodreads
