Statistics and Computing – serie

Introductory Statistics with R

Random Number Generation and Monte Carlo Methods

Developing Statistical Software in Fortran 95

Grammar of Graphics

Branch-and-Bound Applications in Combinatorial Data Analysis

Basics of S-PLUS

Graphics of Large Datasets

Visualizing a Million

Software for Data Analysis

Programming with R

XploRe: An Interactive Statistical Computing Environment

Numerical Bayesian Methods Applied to Signal Processing

Modern Applied Statistics with S

Elements of Computational Statistics

Computational Statistics

Numerical Linear Algebra for Applications in Statistics

Local Regression and Likelihood

Mixed-Effects Models in S and S-PLUS

S Programming

R for Stata Users

Random Number Generation and Monte Carlo Methods

Grammar of Graphics

Branch-and-Bound Applications in Combinatorial Data Analysis

Software for Data Analysis

Programming with R

Modern Applied Statistics with S

Elements of Computational Statistics

S Programming

SAS/IML Companion for Linear Models

Numerical Analysis for Statisticians

Numerical Linear Algebra for Applications in Statistics

Numerical Bayesian Methods Applied to Signal Processing