This textbook presents the concepts and results underlying the Bayesian frequentist and
Fisherian approaches to statistical inference. Written for advanced undergraduates and graduate
students in mathematics and related disciplines this book explains the main approaches to
statistical 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. Each chapter includes instructive problems.
