Kursuslitteratur inden for Statistics

R Companion for Sampling

Introduction to High-Dimensional Statistics

Applied Statistical Inference with MINITAB®, Second Edition

Local Polynomial Modelling and Its Applications

Generalized Additive Models

Statistical Methods for Handling Incomplete Data

Spatial Sampling with R

Statistical Methods for Dynamic Disease Screening and Spatio-Temporal Disease Surveillance

Differential Geometry and Statistics

Fundamentals of Causal Inference

Hidden Markov Models for Time Series

Principles of Uncertainty

Survival Analysis

Distribution Theory

Statistical Models in S

Modern Statistics with R

Generalized Additive Models

Analyzing and Modeling Rank Data

Linear Algebra and Matrix Analysis for Statistics

Computational Actuarial Science with R

Adaptive Design Theory and Implementation Using SAS and R

Generalized Structured Component Analysis

Visualization and Verbalization of Data

Multivariate Dependencies