books by subject
Applied Mathematics
A Course in Pure Mathematics
APPLIED MULTIVARIATE DATA ANALYSIS
Probability - Modular Mathematics Series
Statistical Inference for Diffusion Type Processes (Kendall's Library of Statistics)
MEI Mechanics 1 2ED: Bk. 1 (MEI Structured Mathematics (A+AS Level))
MULTILEVEL STATISTICAL MODELS 3ED (Kendall's Library of Statistics)
Data & Data Handling for A2 Level Biology
MEI Mechanics 1 3rd Edition: Bk. 1 (MEI Structured Mathematics (A+AS Level))
Data and Data Handling for AS Biology
MEI Statistics 3 Third Edition (MEI Structured Mathematics (A+AS Level) Third Edition)
Mathematics Is Not a Spectator Sport
An Introduction to Copulas (Springer Series in Statistics)
New Approaches to Circle Packing in a Square: With Program Codes: 6 (Springer Optimization and Its Applications, 6)
Introductory Statistics with R (Statistics and Computing)
Introductory Time Series with R (Use R!)
A History of Numerical Analysis from the 16th through the 19th Century: 2 (Studies in the History of Mathematics and Physical Sciences)
Brownian Motion (Stochastic Modelling and Applied Probability)
Numerical Optimization Techniques (Translations Series in Mathematics and Engineering)
Survival Analysis: A Self-learning Text (Statistics for Biology and Health)
The Statistical Theory of Shape (Springer Series in Statistics)
Applying and Interpreting Statistics: A Comprehensive Guide (Springer Texts in Statistics)
Nonholonomic Mechanics and Control: With the Collaboration of J.Baillieul, P.Crouch and J.Marsden (Interdisciplinary Applied Mathematics): v.24
Applied Multivariate Analysis
Introduction to Statistics: The Nonparametric Way (Springer Texts in Statistics)
Finite Element Analysis of Acoustic Scattering: 132 (Applied Mathematical Sciences)
Large Deviations Techniques and Applications: v.38 (Stochastic Modelling and Applied Probability)
Naked Statistics: Stripping the Dread from the Data
Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Markov Chain Monte Carlo in Practice (Chapman & Hall/CRC Interdisciplinary Statistics)