Course literature in Statistics

ORTHONORMAL SERIES ESTIMATORS

STATISTICS & EXPERIMENTAL DESIGN FOR PSYCHOLOGISTS

An Introduction to Statistical Modeling of Extreme Values

Bayesian A/B Decision Models

How to Lie with Statistics

Working With Sample Data

Innovative Statistics in Regulatory Science

Inference and Asymptotics

Simultaneous Global New Drug Development

Model-Assisted Bayesian Designs for Dose Finding and Optimization

Linear Models and the Relevant Distributions and Matrix Algebra

Mixed-Mode Official Surveys

Multivariate Analysis for the Behavioral Sciences, Second Edition

Randomization, Bootstrap and Monte Carlo Methods in Biology

Foundational and Applied Statistics for Biologists Using R

Statistics and Data Analysis for Microarrays Using R and Bioconductor

Analysis of Variance, Design, and Regression

Computer Intensive Methods in Statistics

Medical Statistics for Cancer Studies

Multiple Imputation of Missing Data in Practice

Sampling Strategies for Natural Resources and the Environment

Statistical and Probabilistic Methods in Actuarial Science

Introduction to Statistics for Biology

Handbook of Graphical Models