books by subject
Mathematical Probability & Statistics

Time Series Analysis: With Applications in R (Springer Texts in Statistics)

Large Sample Techniques for Statistics (Springer Texts in Statistics)

Statistics: A Complete Introduction: Teach Yourself

Edexcel A level Mathematics Statistics & Mechanics Year 2 Textbook + e-book (A level Maths and Further Maths 2017)

Modern Mathematical Statistics with Applications (Springer Texts in Statistics)

Statistics: Concepts and Controversies

Discovering Statistics

The Basic Practice of Statistics

The Mathematics of Love: Patterns, Proofs, and the Search for the Ultimate Equation (TED)

Mastering Mathematics - Statistics & Probability

Big Data: Does Size Matter? (Bloomsbury Sigma)

Practical Statistics for Data Scientists

OCR A Level Further Mathematics Statistics

AQA A Level Further Mathematics Statistics

Do Dice Play God?: The Mathematics of Uncertainty

Object-Oriented Implementation of Numerical Methods: An Introduction with Java & Smalltalk (The Morgan Kaufmann Series in Software Engineering and Programming)

How to Win More: Strategies for Increasing a Lottery Win

Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models (Chapman & Hall/CRC Interdisciplinary Statistics)

Essential Statistics (Fourth Edition) (CRC/C&h Texts in Statistical Science (Paperback))

Epidemiology: Study Design and Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Introduction to Probability with Mathematica (Textbooks in Mathematics)

Applied Nonparametric Statistical Methods, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)

Mathematical Statistics (Chapman & Hall/CRC Texts in Statistical Science)

Topics in Modelling of Clustered Data: 96 (CRC Monographs on Statistics & Applied Probability (Hardcover))

The Analysis and Interpretation of Multivariate Data for Social Scientists (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Components of Variance (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Chapman & Hall/CRC Texts in Statistical Science)

Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)

Using R for Introductory Statistics (Chapman & Hall/CRC: The R Series)
