Sampling in Statistics

Working with Biological data in Python and R

To Think Like a Statistician

Nonparametric Inference

Chapman & Hall/CRC Texts in Statistical Science

How to Win

A Mathematical Approach to Games and Puzzles

Numbers Tell Stories

How Data Can Reveal the Surprising Truths About Our World from the Bestselling Author

Statistics and Faith

A Christian Guide to Telling the Truth with Data

Linear Algebra with Applications in Machine Learning

From Intuitive Understanding to Python Coding

Sustainable and Inclusive Economic Development

A Global Perspective

Networks

Probability and Statistics

Misclassification in Epidemiology

Mathematics and Statistics (R0)

Practical Sample Size Determination for Medical and Health Researchers

Emergence as Harmony

Mathematical Principles of Self-Organization, Complexity, and Collective Behavior

Pattern Recognition and Machine Learning for Self-Study I

Supervised Learning

A Course of Stochastic Analysis

Mathematics and Statistics (R0)

Bayesian Models in Health Technology Assessment

Chapman & Hall/CRC Biostatistics Series

Inference in Statistical Modelling and Machine Learning

A Concise Introduction

Empirical Likelihood Method in Survival Analysis

With R Implementation, Second Edition

All of Regression

Bayesian Workflow

Random Models in Biology, Ecology and Evolution

Mathematical Modeling of Heavy Metal Transport in Soil

Advanced Basketball Data Science

With Applications in R

Fuzzy Sets and Triangular Norms

Aggregation in Decision-Aided Intelligent Systems

Solar Power Forecasting

Using Time Series and Machine Learning