Series: Springer Series in Statistics

Prior Processes and Their Applications

Regression Modeling Strategies

Models for Discrete Longitudinal Data

Gaussian and Non-Gaussian Linear Time Series and Random Fields

Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs

Statistical Analysis with Measurement Error or Misclassification

Smoothing Spline ANOVA Models

Introduction to Nonparametric Estimation

Dynamic Data Analysis

Principal Component Analysis

Multivariate Analysis with LISREL

Targeted Learning

Change Point Analysis for Time Series

Targeted Learning

Modeling Discrete Time-to-Event Data

Functional and Shape Data Analysis

Bayesian Nonparametric Data Analysis

Simulation and Inference for Stochastic Differential Equations

Bayesian Forecasting and Dynamic Models

Functional Data Analysis

Weak Convergence and Empirical Processes

Information Criteria and Statistical Modeling

Stochastic Orders

Robust Asymptotic Statistics

Exact Statistical Methods for Data Analysis

Monte Carlo and Quasi-Monte Carlo Sampling

Analysis of Neural Data

Breakthroughs in Statistics

Inequalities: Theory of Majorization and Its Applications

Statistical Analysis with Measurement Error or Misclassification

Model-based Geostatistics

Model-based Geostatistics

Design of Observational Studies

Robust Diagnostic Regression Analysis

ARCH Models and Financial Applications

Selected Papers of Hirotugu Akaike

Inference in Hidden Markov Models

Statistics for High-Dimensional Data

Forecasting with Exponential Smoothing

Bayesian and Frequentist Regression Methods

Robust Statistics Through the Monitoring Approach

Comparing Distributions

Design of Observational Studies

Linear and Generalized Linear Mixed Models and Their Applications

Introduction to Empirical Processes and Semiparametric Inference

Linear Mixed Models for Longitudinal Data

Multivariate Analysis with LISREL

Statistical Inference in Science

An Introduction to Statistical Modeling of Extreme Values

Asymptotic Methods in Statistical Decision Theory