Aimed at advanced undergraduates and graduate students in mathematics and related disciplines, this engaging textbook gives 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.


Become a Librarian

Series

Featured Series

6 primary books

#16 in Cambridge Series in Statistical and Probabilistic Mathematics

Cambridge Series in Statistical and Probabilistic Mathematics is a 6-book series with 6 released primary works first released in 2000 with contributions by Sara A. van de Geer, John F. Monahan, and G.A. Young.

#6
Empirical Processes in M-Estimation
#7
Numerical Methods of Statistics
#16
Essentials of Statistical Inference
#24
Random networks for communication
#29
From finite sample to asymptotic methods in statistics
#30
Brownian Motion

Reviews

Popular Reviews

Reviews with the most likes.

There are no reviews for this book. Add yours and it'll show up right here!