Course literature in Statistics

Computational Statistics in Data Science

Applied Univariate, Bivariate, and Multivariate Statistics

Data Analysis and Applications 1

Applied Regression Modeling

The R Book

Statistics in Environmental Sciences

Estimation of Stochastic Processes with Stationary Increments and Cointegrated Sequences

Introduction to Stochastic Processes and Simulation

Statistical Quality Control

Advances in Business Statistics, Methods and Data Collection

Business Experiments with R

Probability

Modern Industrial Statistics

R-ticulate

Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and R

Queueing Theory 2

Multiple Imputation and its Application

Chemometrics and Numerical Methods in LIBS

Phase Type Distributions

Probabilistic Forecasts and Optimal Decisions

Practical Statistics for Geographers and Earth Scientists

Statistical Methods for Modeling Human Dynamics

Statistical Misconceptions

The Doctrine of Chances