Statistical Computing with R

Preface

This book is an introduction to statistical computing and computational statistics. Computational statistics is a rapidly expanding area in statistical research and applications. It includes computationally intensive methods in statistics, such as Monte Carlo methods, bootstrap, MCMC, density estimation, nonparametric regression, classification and clustering, and visualization of multivariate data. Gentle [113] and Wegman [295] describe computational statistics as computationally intensive methods in statistics. Statistical computing, at least traditionally, focused on numerical algorithms for statistics (see e.g. Thisted [269]). Generally a book has only one of these terms in the title; for example, Givens and Hoeting’s “Computational ...