Introduction to Empirical Processes and Semiparametric Inference

Symmetric Functionals on Random Matrices and Random Matchings Problems

Model Selection and Model Averaging

Chaos and Coarse Graining in Statistical Mechanics

Contemporary Bayesian and frequentist statistical research methods for natural resource scientists

Modern applied U-statistics

Probability and statistical inference

Statistics and data with R an applied approach through examples

Statistics for marketing and consumer research

Life Distributions Structure of Nonparametric, Semiparametric, and Parametric Families

Bayesian Computation with R

Correlated Data Analysis: Modeling, Analytics, and Applications

The Analysis of Cross-Classified Categorical Data

Introduction to Bayesian Scientific Computing Ten Lectures on Subjective Computing

Linear and generalized linear mixed models and their applications

Introduction to Variance Estimation

Bayesian Core: A Practical Approach to Computational Bayesian Statistics

Nonlinear Dimensionality Reduction

The Nature of Statistical Evidence

Heavy-Tail Phenomena Probabilistic and Statistical Modeling

A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713–1935

Linear and Generalized Linear Mixed Models and Their Applications

Model-based Geostatistics

Multiple Testing Procedures with Applications to Genomics

Data Quality and Record Linkage Techniques

The Statistical Analysis of Recurrent Events

Permutation Methods A Distance Function Approach

Weak Dependence: With Examples and Applications

Stochastic Analysis and Applications The Abel Symposium 2005

Advances in Data Analysis Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8–10, 2006

Selected Contributions in Data Analysis and Classification

Independent Component Analysis and Signal Separation 7th International Conference, ICA 2007, London, UK, September 9-12, 2007. Proceedings

Nonparametric Inference

Discrete Multivariate Analysis Theory and Practice

Indirect Sampling

Advances in Statistical Methods for the Health Sciences Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis

Statistical Methods for Biostatistics and Related Fields

Cluster Analysis for Data Mining and System Identification

The R book

Making sense of data a practical guide to exploratory data analysis and data mining

Models in spatial analysis

Concentration Inequalities and Model Selection Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003

mODa 8 - Advances in Model-Oriented Design and Analysis Proceedings of the 8th International Workshop in Model-Oriented Design and Analysis held in Almagro, Spain, June 4–8, 2007

Statistics for engineering and the sciences

Applied Multivariate Statistical Analysis

Statistical Analysis of Extreme Values with Applications to Insurance, Finance, Hydrology and Other Fields

Models in spatial analysis

Experimental Designs: Exercises and Solutions

Stochastic Orders

Stochastic Simulation: Algorithms and Analysis

Matrix Algebra Theory, Computations, and Applications in Statistics

Multiscale Modeling A Bayesian Perspective

Process Optimization A Statistical Approach

The Bayesian Choice From Decision-Theoretic Foundations to Computational Implementation

Multivariate Statistics Exercises and Solutions

Making sense of data : a practical guide to exploratory data analysis and data mining

Premiers pas en statistique

Quantitative Health Risk Analysis Methods Modeling the Human Health Impacts of Antibiotics Used in Food Animals

Sampling Methods Exercises and Solutions

All of Nonparametric Statistics

Case Studies in Spatial Point Process Modeling

A Modern Theory of Factorial Designs

Semiparametric Theory and Missing Data

Graphics of Large Datasets Visualizing a Million

Statistical Methods in Counterterrorism Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication

Statistical Analysis of Environmental Space-Time Processes

An Introduction to Bayesian Analysis Theory and Methods

Measure Theory and Probability Theory

Finite Mixture and Markov Switching Models

Dependence in Probability and Statistics

Time Series Analysis and Its Applications With R Examples

Nonparametric Functional Data Analysis Theory and Practice

Selected Papers of Frederick Mosteller

Restricted Parameter Space Estimation Problems Admissibility and Minimaxity Properties