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