Springer Series in Statistics
van der Vaart / Wellner
Weak Convergence and Empirical Processes
Weak Convergence and Empirical Processes
With Applications to Statistics
2nd ed. 2023
Vaart / Wellner
Weak Convergence and Empirical Processes
Weak Convergence and Empirical Processes
With Applications to Statistics
2nd ed. 2023
Kauermann / Küchenhoff / Heumann
Statistical Foundations, Reasoning and Inference
Statistical Foundations, Reasoning and Inference
For Science and Data Science
Chopin / Papaspiliopoulos
An Introduction to Sequential Monte Carlo
An Introduction to Sequential Monte Carlo
Brunner / Bathke / Konietschke
Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs
Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs
Using R and SAS
Jöreskog / Olsson / Y. Wallentin
Multivariate Analysis with LISREL
Multivariate Analysis with LISREL
Phadia
Prior Processes and Their Applications
Prior Processes and Their Applications
Nonparametric Bayesian Estimation
2nd ed. 2016
Filzmoser / Hron / Templ
Applied Compositional Data Analysis
Applied Compositional Data Analysis
With Worked Examples in R
Harrell
Regression Modeling Strategies
Regression Modeling Strategies
With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis
2nd ed. 2015
Laan / Rose
Targeted Learning in Data Science
Targeted Learning in Data Science
Causal Inference for Complex Longitudinal Studies