Random Number Generation and Monte Carlo Methods (Statistics and Computing)

James E. Gentle

$99.99

This product is not returnable.

Publication Date: November 29th, 2010

Publisher:

Springer

ISBN:

9781441918086

Pages:

382

Usually Ships in 1 to 5 Days

Description

This book serves as a reference for people interested in statistical computing. The second edition discusses the R software, a free statistical program of growing interest.

Random Number Generation and Monte Carlo Methods (Statistics and Computing)

Description

Other Books in Series

A First Course in Statistical Learning: With Data Examples and Python Code (Statistics and Computing)

Applied Statistical Learning: With Case Studies in Stata (Statistics and Computing)

Graphics of Large Datasets: Visualizing a Million (Statistics and Computing)

Basic Elements of Computational Statistics (Statistics and Computing)

Automatic Nonuniform Random Variate Generation (Statistics and Computing)

Applied Quantitative Finance (Statistics and Computing)

Elements of Computational Statistics (Statistics and Computing)

SAS for Data Analysis: Intermediate Statistical Methods (Statistics and Computing)

Random Number Generation and Monte Carlo Methods (Statistics and Computing)

Developing Statistical Software in FORTRAN 95 (Statistics and Computing)

S Programming (Statistics and Computing)

Computational Statistics (Statistics and Computing)

A Sas/IML Companion for Linear Models (Statistics and Computing)

Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)

Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications (Statistics and Computing)

R for Stata Users (Statistics and Computing)

Elements of Computational Statistics (Statistics and Computing)

R for Stata Users (Statistics and Computing)

Software for Data Analysis: Programming with R (Statistics and Computing)

R for SAS and SPSS Users (Statistics and Computing)