Mathematical Statistics with Applications in R

Mathematical Statistics with Applications in R, 2nd Edition, is an undergraduate textbook that presents mathematical statistics alongside computational and simulation concepts. The volume guides students through statistical problem solving using step-by-step procedures.

Core subjects include analysis of variance, nonparametric methods, empirical approaches, and Bayesian analysis. The text also covers goodness of fit methods designed to identify probability distributions for given data sets, providing tools emphasized for engineering students.

Reviewed by MAA.org as mathematically rigorous yet student-friendly, the book combines theoretical concepts with practical applications in its exercises and includes real-world chapter projects.