Springer Series in Statistics

Matthias Schmid and Others
Series • 78 Books • Computers
The Elements of Statistical Learning The Elements of Statistical Learning
The Elements of Statistical Learning
Trevor Hastie, Robert Tibshirani & Jerome Friedman
Hidden Markov Processes and Adaptive Filtering Hidden Markov Processes and Adaptive Filtering
Hidden Markov Processes and Adaptive Filtering
Yury A. Kutoyants
Robust Statistics Through the Monitoring Approach Robust Statistics Through the Monitoring Approach
Robust Statistics Through the Monitoring Approach
Anthony C. Atkinson, Marco Riani, Aldo Corbellini, Domenico Perrotta & Valentin Todorov
Change Point Analysis for Time Series Change Point Analysis for Time Series
Change Point Analysis for Time Series
Lajos Horvath & Gregory Rice
Ten Projects in Applied Statistics Ten Projects in Applied Statistics
Ten Projects in Applied Statistics
Peter McCullagh
Statistical Foundations, Reasoning and Inference Statistical Foundations, Reasoning and Inference
Statistical Foundations, Reasoning and Inference
Göran Kauermann, Helmut Küchenhoff & Christian Heumann
Linear and Generalized Linear Mixed Models and Their Applications Linear and Generalized Linear Mixed Models and Their Applications
Linear and Generalized Linear Mixed Models and Their Applications
Jiming Jiang & Thuận Nguyễn
An Introduction to Sequential Monte Carlo An Introduction to Sequential Monte Carlo
An Introduction to Sequential Monte Carlo
Nicolas Chopin & Omiros Papaspiliopoulos
Design of Observational Studies Design of Observational Studies
Design of Observational Studies
Paul R. Rosenbaum
Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs
Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs
Edgar Brunner, Arne C. Bathke & Frank Konietschke