books by subject
Mathematical Probability & Statistics

STATISTICAL DECISION THEORY (Kendall's Library of Statistics)

STATISTICAL REGRESSION WITH MEASUREMENT ERROR (Kendall's Library of Statistics)

Statistics: An Introduction (Teach Yourself)

Kendall's Advanced Theory Of Statistics Volume 2A Classical Inference 6th EDITION: Classical Inference v. 2A (Kendall's Library of Statistics)

Statistics For Science Projects

The Analysis of Proximity Data (Kendall's Library of Statistics)

Measurement Theory and Practice: The World Through Quantification (Kendall's Library of Statistics)

Latent Variable Models and Factor Analysis 2e (Kendall's Library of Statistics)

A-Z of Medical Statistics: A companion for critical appraisal

Statistics in Society: The Arithmetic of Politics (Arnold Applications of Statistics Series)

Practical Time Series (Arnold Texts in Statistics)

Statistical Inference for Diffusion Type Processes (Kendall's Library of Statistics)

Statistical Pattern Recognition

Statistics

MEI Numerical Analysis 2ED (MEI Structured Mathematics (A+AS Level))

Statistics1 (MEI Structured Mathematics): Bk. 1

MEI Statistics 2 2ED: Bk. 2 (MEI Structured Mathematics (A+AS Level))

MEI Statistics 3 2ED: v. 3 (MEI Structured Mathematics (A+AS Level))

Modular Maths for Edexcel A/AS Level Statistics 1: v.1 (Modular Maths For A/AS Level)

MULTILEVEL STATISTICAL MODELS 3ED: v. 3 (Kendall's Library of Statistics)

Outcome Measures in Orthopaedics and Orthopaedic Trauma, 2Ed (Hodder Arnold Publication)

KENDALL'S ADVANCED THEORY OF STATISTICS VOLUME 2B: Bayesian Inference, 2nd edn (Kendall's Library of Statistics)

Modular Maths for Edexcel 2nd Edition Statistics 1: Bk. 1 (Modular Maths for Edexcel Statistics)

MEI Statistics 2 (MEI Structured Mathematics (A+AS Level))

Introduction to R for Social Scientists: A Tidy Programming Approach (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Heavy-Tail Phenomena: Probabilistic and Statistical Modeling (Springer Series in Operations Research and Financial Engineering)

An Introduction to Copulas (Springer Series in Statistics)

Pattern Recognition and Machine Learning (Information Science and Statistics) (Information Science and Statistics)

Bayesian Computation with R (Use R)
