Smoothing Spline ANOVA Models

Principles and Theory for Data Mining and Machine Learning

Design of Observational Studies

Statistical Inference in Science

Growth Curve Models and Statistical Diagnostics

Convergence of Stochastic Processes

Measures of Association for Cross Classifications

Smoothing Methods in Statistics

The Statistical Theory of Shape

Theory of Statistics

Goodness-of-Fit Statistics for Discrete Multivariate Data

Parameter Estimation and Hypothesis Testing in Spectral Analysis of Stationary Time Series

Modern Concepts and Theorems of Mathematical Statistics

Asymptotic Methods in Statistical Decision Theory

Introduction to Empirical Processes and Semiparametric Inference

Spatial Statistics and Modeling

Comparing Distributions

Semiparametric and Nonparametric Methods in Econometrics

The Collected Works of Wassily Hoeffding

Finite Mixture and Markov Switching Models

Stochastic Orders

Functional Data Analysis

Elements of Multivariate Time Series Analysis

Model Assisted Survey Sampling

Exact Statistical Methods for Data Analysis

Exploring Multivariate Data with the Forward Search

Multiple Testing Procedures with Applications to Genomics

Indirect Sampling

Information Criteria and Statistical Modeling

Monte Carlo Strategies in Scientific Computing

Monte Carlo and Quasi-Monte Carlo Sampling

Introduction to Nonparametric Estimation

Inequalities: Theory of Majorization and Its Applications

Bayesian and Frequentist Regression Methods

Analysis of Neural Data

Annotated Readings in the History of Statistics

Ten Projects in Applied Statistics

Change Point Analysis for Time Series

Robust Statistics Through the Monitoring Approach

Change Point Analysis for Time Series

Linear and Generalized Linear Mixed Models and Their Applications

Design of Observational Studies

Sampling Algorithms

Inference in Hidden Markov Models

Selected Papers of Frederick Mosteller

Comparing Distributions

Design of Observational Studies

Spatial Statistics and Modeling

Spectral Analysis of Large Dimensional Random Matrices

A Comparison of the Bayesian and Frequentist Approaches to Estimation

Recursive Partitioning and Applications

Nonlinear Estimation

Analysis of Neural Data

Smoothing Spline ANOVA Models

Prediction Theory for Finite Populations

Inference for Functional Data with Applications

Markov Bases in Algebraic Statistics

Nonparametric and Semiparametric Models

Longitudinal Categorical Data Analysis

Nonparametric Smoothing and Lack-of-Fit Tests