Indirect Sampling

Multiscale Modeling A Bayesian Perspective

Correlated Data Analysis: Modeling, Analytics, and Applications

The Bayesian Choice From Decision-Theoretic Foundations to Computational Implementation

Linear and Generalized Linear Mixed Models and Their Applications

Model-based Geostatistics

Information and Complexity in Statistical Modeling

The Nature of Statistical Evidence

Sampling Algorithms

A Modern Theory of Factorial Designs

Semiparametric Theory and Missing Data

Selected Papers of Frederick Mosteller

Statistical Analysis of Environmental Space-Time Processes

An Introduction to Bayesian Analysis Theory and Methods

Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series

Finite Mixture and Markov Switching Models

Time Series Analysis and Its Applications With R Examples

Nonparametric Functional Data Analysis Theory and Practice

Restricted Parameter Space Estimation Problems Admissibility and Minimaxity Properties

An Introduction to Copulas

Case Studies in Spatial Point Process Modeling

Functional Approach to Optimal Experimental Design

Inference for Change Point and Post Change Means After a CUSUM Test

Modeling Longitudinal Data

Statistical Demography and Forecasting

Inference in Hidden Markov Models

Nonparametric Monte Carlo Tests and Their Applications

On Probabilistic Conditional Independence Structures

An R and S-PLUS® Companion to Multivariate Analysis

Estimation in Conditionally Heteroscedastic Time Series Models

Functional Data Analysis

Permutation, Parametric and Bootstrap Tests of Hypotheses

Probability: A Graduate Course

Testing Statistical Hypotheses

Statistical and Inductive Inference by Minimum Message Length

Models for Discrete Longitudinal Data

Modern Multidimensional Scaling Theory and Applications

Survey sampling : theory and methods

Nonparametric statistical inference

Handbook of applied econometrics and statistical inference

Linear models a mean model approach

Probability: A Graduate Course A Graduate Course

Probability Approximations and Beyond

Information Theoretic Learning Renyi's Entropy and Kernel Perspectives

Fundamentals of Probability: A First Course

Computational Methods in Biometric Authentication Statistical Methods for Performance Evaluation

Item response theory

Advances in social science research using R

An Intermediate Course in Probability

Support Vector Machines

Confidence intervals in generalized regression models

Landscape Pattern Analysis for Assessing Ecosystem Condition

Life Distributions Structure of Nonparametric, Semiparametric, and Parametric Families

Reliability, Life Testing and the Prediction of Service Lives For Engineers and Scientists

Multiple Testing Procedures with Applications to Genomics

Nonlinear Dimensionality Reduction

Measure Theory and Probability Theory

Pattern-Based Compression of Multi-Band Image Data for Landscape Analysis

Statistical inference based on divergence measures

A Kalman filter primer

Statistical demography and forecasting

Space, structure and randomness contributions in honor of Georges Matheron in the fields of geostatistics, random sets, and mathematical morphology

Statistical methods in computer security

The EM algorithm and related statistical models

Computer-aided econometrics

Visualizing statistical models and concepts

Testing for normality

Theory of rank tests

The spectral analysis of time series

Brownian motion and classical potential theory

Quantile-Based Reliability Analysis

Practical Tools for Designing and Weighting Survey Samples

Statistical Methods for Dynamic Treatment Regimes Reinforcement Learning, Causal Inference, and Personalized Medicine

Epidemiologic Studies in Cancer Prevention and Screening

Advances in Growth Curve Models Topics from the Indian Statistical Institute

Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications