Statistical Computing with R, Second Edition Maria L. Rizzo is an English-language study book aimed at computational statistics. This book covers statistical computing with an emphasis on practical applications within the R environment and is suitable for higher-education students.
The second edition offers an up-to-date and example-rich introduction to statistical computing with R. It covers core topics such as Monte Carlo methods, bootstrap, jackknife, permutation tests, Markov chain Monte Carlo (MCMC), and density estimation. New chapters and exercises increase practical applicability.
Key features:
- Overview of computational statistics and the R computing environment
- Emphasis on implementation through practical examples
- Extensive coverage of recent developments such as R Studio, tidyverse, knitr, and ggplot2
- Online supplements with R code, tutorials, and additional examples available via GitHub
This textbook aligns with courses such as Computer modelling and simulation, Computer programming/software engineering, and MATHEMATICS / Probability & Statistics / General.
Series: Chapman & Hall/CRC The R Series