Statistical Shape Analysis, with Applications in R 2e

Randomization in Clinical Trials – Theory and Practice 2e

Research Methods for Postgraduates 3e

A Practical Introduction to Index Numbers

Probability, Decisions and Games – A Gentle Introduction using R

Fast Sequential Monte Carlo Methods for Counting and Optimization

Understanding Uncertainty, Revised Edition

Introduction to Probability – Models and Applications

Statistical Analysis and Modelling of Spatial Point Patterns

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

Quantile Regression

Statistical Disclosure Control

Multivariate Analysis 2e

Probability Concepts and Theory for Engineers

Linear Models – The Theory and Application of Analysis of Variance

Long–Memory Time Series: Theory and Meth

Robust Statistics 2e

Probably Not – Future Prediction Using Probability and Statistical Inference

Multi–armed Bandit Allocation Indices 2e

Modelling Under Risk and Uncertainty – An Introduction to Statistical, Phenomenological and Computational Methods

Multistate Systems Reliability Theory With Applications

Spatial Statistics and Spatio–Temporal Data – Covariance Functions and Directional Properties

Understanding Large Temporal Networks and Spatial Networks – Exploration, Pattern Searching, Visualization and Network Evolution

Bayesian Networks – An Introduction

Applied MANOVA and Discriminant Analysis 2e

Applied Bayesian Modelling

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

Matrix Algebra Useful for Statistics 2e

Statistics and Causality – Methods for Applied Empirical Research

Probabilistic Design for Optimization and Robustness for Engineers

Probabilistic Physics of Failure Approach to Reliability – Modeling, Accelerated Testing, Prognosis and Reliability Assessment

Ensemble Classification Methods with Applications in R

Statistical Advances in the Biomedical Sciences – Clinical Trials, Epidemiology, Survival Analysis, and Bioinformatics

Statistical Methods for Food Science – Introductory Procedures for the Food Practitioner 2e

Quantitative Environmental Risk Analysis for Human Health, Second Edition

Simulation and the Monte Carlo Method 3e

Design, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition

Introduction to Stochastic Processes with R

Nonparametric Statistics – A Step–by–Step Approach 2e

Statistics for Exercise Science and Health with Microsoft(R) Office Excel(R)

Introduction to Probability – Multivariate Models and Applications, Volume Two

Bayesian Statistics – An Introduction 4e

Statistics – An Introduction Using R 2e

Applied Bayesian Modelling 2e

The Analysis of Covariance and Alternatives – Statistical Methods for Experiments, Quasi–Experiments and Single–Case Studies 2e

Stochastic Differential Equations – An Introduction with Applications in Population Dynamics Modeling

Elements of Random Walk and Diffusion Processes

Extremes in Random Fields – A Theory and its Applications

Bayesian Networks – A Practial Guide to Applications

Quantile Regression

Bayesian Analysis for the Social Sciences

Probability and Statistics with Reliability, Queuing and Computer Science Applications 2e

Statistical Group Comparison

Elements of Applied Stochastic Processes 3e

Statistical Analysis of Designed Experiments – Theory and Applications

Linear Models in Statistics 2e

Bayesian Methods for Nonlinear Classification & Regression

Performance Analysis of Communication Systems – Modelling with Non–Markovian Stochastic Petri Nets

Comparison Methods for Stochastic Models & Risks

A First Course in Stochastic Models