Mathematical Statistics & Probability

Introduction to Statistics

By Susan F. Wagner

Applied Statistics

By John Neter, etc.

Statistics 1

By A.K. Shahani, P.K. Nandi

Statistics: v.3

By Graham Smithers, Stephen Webb, National Extension College

Statistics: 5 and 6

By Alec Cryer, Bob Francis, Michael Davies, Gerald Goodall

Sample Survey Principles and Methods

By Vic Barnett

Experimental Design Techniques in Statistical Practice: A Practical Software-Based Approach

By William P Gardiner (Formerly Glasgow Caledonian University, UK), G Gettinby (University of Strathclyde

Head First Statistics

By Dawn Griffiths

Taking Chances: Winning with Probability

By John Haigh (, Reader in Mathematics and Statistics, University of Sussex)

Design and Analysis of Reliability Studies

By Graham Dunn

Introductory Statistics: v. 1: Probability and Distribution Theory

By F. D. J. Dunstan, etc.

Bayesian Statistical Methods

By Brian J. Reich, Sujit K. Ghosh

R Programming and Its Applications in Financial Mathematics

By Shuichi Ohsaki (Bank of America Merrill Lynch, Shinjuku-ku, Japan), Jori Ruppert-Felsot, Daisuke Yoshikawa (Hokkai-Gakuen University, Sapporo

Measuring Efficiency in Health Care: Analytic Techniques and Health Policy

By Rowena Jacobs (University of York), Peter C. Smith (University of York), Andrew Street (University of York)

The Scientific Use of Factor Analysis in Behavioral and Life Sciences

By Raymond Bernard Cattell

Multivariate Analysis: Techniques for Educational and Psychological Research

By Maurice M. Tatsuoka

Introductory Statistics for Biology Students

By Trudy A. Watt

Biometrical Interpretation

By Neil Gilbert

Statistical Applications for the Behavioral Sciences

By Laurence G. Grimm

Applied Multivariate Data Analysis

By Brian S. Everitt, Graham Dunn

R Companion for Sampling: Design and Analysis, Third Edition

By Yan Lu, Sharon L. Lohr

An R and S-Plus (R) Companion to Multivariate Analysis

By Brian S. Everitt

Bayes and Empirical Bayes Methods for Data Analysis, Second Edition

By Bradley P. Carlin (University of Minnesota, Minneapolis, USA), Thomas A. Louis (Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland

Categorical Data Analysis

By Alan Agresti

Correspondence Analysis in Practice, Second Edition

By Michael Greenacre (Universitat Pompeu Fabra, Barcelona, Spain)

Theory and Applications of Correspondence Analysis

By Michael J. Greenacre

Analysis of Ordinal Categorical Data

By Alan Agresti (University of Florida, Gainesville)

Multilevel Modeling Using R

By W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley

Optimal Experimental Design with R

By Dieter Rasch, Jurgen Pilz, L.R. Verdooren, Albrecht Gebhardt

Basic Math for Social Scientists: Concepts

By Timothy M. Hagle