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The Mathematica GuideBook for Numerics

Monte Carlo Statistical Methods

Introduction to Maple

The Basics of S-PLUS

Introduction to Probability Simulation and Gibbs Sampling with R

Optimization Methods for Applications in Statistics

Mixed-effects Models in S and S-PLUS

Modern Portfolio Optimization with NuOPT (TM), S-PLUS (R), and S+Bayes (TM)

Environmentalstats for S-plus(r) : User's Manual for Version 2.0

Random Signals and Process Primer with MATLAB

Bayesian Core: A Practical Approach to Computational Bayesian Statistics : A Practical Approach to Computational Bayesian Statistics

Statistical Analysis of Network Data with R

Applied Spatial Data Analysis with R

Ideals, Varieties, and Algorithms : An Introduction to Computational Algebraic Geometry and Commutative Algebra

Applied Wavelet Analysis with S-PLUS

Branch-and-Bound Applications in Combinatorial Data Analysis

Outlier Analysis

Mathematical Statistics with Mathematica

Pyomo - Optimization Modeling in Python

R for SAS and SPSS Users

A Guide to Maple

Algorithmic Learning in a Random World

Using SPSS 12.0 for Windows : Data Analysis and Graphics

Mathematica in Action

The Basics of S-PLUS

Essential Maple 7 : An Introduction for Scientific Programmers

Quantum Methods with Mathematica (R)

The Basics of S and S-PLUS : With Fully Worked Examples and Solutions

The Mathematica GuideBook for Numerics

R for SAS and SPSS Users

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