Course literature in Statistics

Nonparametric Statistical Inference

Extending the Linear Model with R

Statistics for Engineering and the Sciences

CHANCE, LOGIC AND INTUITION

MULTIVARIATE NORMAL DISTRIBUTION, THE

ADVANCED STATISTICS FOR HEALTH RESEARCH

OBJECTIVE BAYESIAN INFERENCE

Asymptotics, Nonparametrics, and Time Series

Multiple Comparisons

Empirical Likelihood

Handbook of Statistics of Extremes

Regressions in Covariances, Dependencies and Graphs

Copula Models for Dependent Competing Risks

Statistical Practice for Data Science

Every Coin Has Two Sides

Nonparametric Inference

Introduction to Modern Randomization-Based Design and Analysis for Causal Inference

Sample Surveys in Economics and Finance

Statistics for Epidemiology

Testing For Normality

Slippery Math In Public Affairs

Statistical Curves and Parameters

Handbook of the Logistic Distribution

Networks