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
Phadia
Prior Processes and Their Applications
Prior Processes and Their Applications
Nonparametric Bayesian Estimation
2nd ed. 2016
Jöreskog / Olsson / Y. Wallentin
Multivariate Analysis with LISREL
Multivariate Analysis with LISREL
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
Filzmoser / Hron / Templ
Applied Compositional Data Analysis
Applied Compositional Data Analysis
With Worked Examples in R