Springer Series in Statistics

Elements of Statistical Learning

Data Mining, Inference, and Prediction, Second Edition

Series Approximation Methods in Statistics

Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics

A method to control the rare events in non-equilibrium systems

Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics

A method to control the rare events in non-equilibrium systems

Modern Series Methods in Econometrics and Statistics

Annotated Readings in the History of Statistics

Regression Modeling Strategies

With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis

Partial Identification of Probability Distributions

Resampling Methods for Dependent Data

Introduction to Rare Event Simulation

Selected Papers of Frederick Mosteller

Permutation, Parametric, and Bootstrap Tests of Hypotheses

Life Distributions

Structure of Nonparametric, Semiparametric, and Parametric Families

Statistical Demography and Forecasting

Statistical Demography and Forecasting

Models for Discrete Longitudinal Data

Modern Multidimensional Scaling

Theory and Applications

Nonlinear Time Series

Nonparametric and Parametric Methods

Statistical Analysis of Environmental Space-Time Processes

Introduction to Copulas

Non-negative Matrices and Markov Chains

Nonparametric Functional Data Analysis

Theory and Practice

Sampling Algorithms

Modern Theory of Factorial Design

Semiparametric Theory and Missing Data

Reliability, Life Testing and the Prediction of Service Lives

For Engineers and Scientists

Model-based Geostatistics

Finite Mixture and Markov Switching Models

Stochastic Orders