Statistical Shape Analysis, with Applications in R 2e

Python for R Users – A Data Science Approach

The Digital Patient – Advancing Healthcare, Research, and Education

Clustering Methodology for Symbolic Data

Robust Nonlinear Regression – with Applications using R

SPSS Statistics Workbook For Dummies

Chemometrics in Excel

Analytic Methods in Systems and Software Testing

Statistical Hypothesis Testing with SAS and R

Nonparametric Hypothesis Testing – Rank and Permutation Methods with Applications in R

Visual Data Mining – The VisMiner Approach

Statistical and Machine Learning Approaches for Network Analysis

Tree–based Graph Partitioning Constraint

Robust Statistics 2e

Statistical Pattern Recognition 3e

Graphical Models – Methods for Data Analysis and Mining 2e

Bayesian Networks – An Introduction

Statistical Computing – An Introduction to Data Analysis Using S–Plus

Computational Statistics in Data Science

Introduction to Digital Systems – Modeling, Synthesis, and Simulation Using VHDL

Statistical Planning and Inference – Concepts and Applications

Introduction to Statistics Through Resampling Meth ods and R, Second Edition

Making Sense of Data III: A Practical Guide to Des igning Interactive Data Visualizations

Handbook of Real–World Applications in Modeling and Simulation

Robustness Theory and Application

Healthcare Simulation – A Guide for Operations Specialists

Computational and Statistical Methods for Protein Quantification by Mass Spectrometry

Spreadsheet Applications in Chemistry Using Microsoft Excel – Data Processing and Visualization, 2nd Edition

Data Analysis for the Geosciences – Essentials of Uncertainty, Comparison, and Visualization

Fitting Equations To Data – Computer Analysis of Multifactor Data 2e

Fractal–Based Point Processes

Robust Regression and Outlier Detection

Modeling and Simulation Fundamentals – Theoretical Underpinnings and Practical Domains

Data Analysis – What Can Be Learned From the Past 50 Years

A Course in Statistics with R

Spectral Clustering and Biclustering – Learning Large Graphs and Contingency Tables

Probability with R – An Introduction with Computer Science Applications

Smoothing of Multivariate Data – Density Estimation and Visualization

Machine Learning

Data Mining Using SAS Enterprise Miner

Stochastic Simulation

Exploring Data Tables, Trends and Shapes

Understanding Computational Bayesian Statistics

An Elementary Introduction to Statistical Learning Theory

Graphical Models in Applied Multivariate Statistics

Bayesian Analysis of Stochastic Process Models

Advanced Markov Chain Monte Carlo Methods – Learning From Past Samples

Modeling and Simulation for Analyzing Global Events

Computational Statistics 2e

Principles of Modeling and Simulation – A Multidisciplinary Approach

Simulation and Monte Carlo – With Applications in Finance and MCMC

Simulation and Monte Carlo

Modern Simulation and Modeling

Visual Statistics – Seeing Data with Dynamic Interactive Graphics

Regression Graphics – Ideas for Studying Regressions through Graphics

Simulation – A Modeler´s Approach

Statistical Modeling by Wavelets

Introduction to Statistics Through Resampling Methods and Microsoft Office Excel

Robust Statistics – The Approach Based on Influence Functions

The Python Book