books by subject
Mathematical Statistics & Probability
An Introduction to Regression and Analysis of Variance,
A Radical Approach to Lebesgue's Theory of Integration
Introduction to Probability and Statistics
xGenius: Expected Goals and the Science of Winning Football Matches
Feature Engineering and Selection: A Practical Approach for Predictive Models
Solving Differential Equations in R
Bayesian Modeling of Spatio-Temporal Data with R
Computer Age Statistical Inference, Student Edition: Algorithms, Evidence, and Data Science
Python for Probability, Statistics, and Machine Learning
Numbercrunch: A Mathematician's Toolkit for Making Sense of Your World
Statistical Analysis of Behavioural Data: An Approach Based on Time-structured Models
Tables of the F- and Related Distributions with Algorithms
Analysis Contigency Tables
Analysis of Cross Classified Categorical Data
Matrix Algebra Useful for Statistics
Exploratory Data Analysis
Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling
Applied Linear Regression
Statistical Analysis of Extreme Values: with Applications to Insurance, Finance, Hydrology and Other Fields
Data Analysis Using Regression and Multilevel/Hierarchical Models
Statistics: Pearson New International Edition: The Art and Science of Learning from Data
Modern Regression Methods
Model Assisted Survey Sampling
Spatio-Temporal Methods in Environmental Epidemiology
Principles of Population Genetics
The Art of Uncertainty: How to Navigate Chance, Ignorance, Risk and Luck
A First Course in Bayesian Statistical Methods
Statistics Playbook
Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis