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Statistics: Principles and Methods, Richard A. Johnson, Gouri K. Bhattacharyya
Statistics: an introduction using R, Michael J. Crawley
Mathematical statistics: exercises and solutions, Jun Shao
Medical statistics at a glance, Aviva Petrie, Caroline Sabin
The history of statistics: the measurement of uncertainty before 1900, Stephen M. Stigler
Fundamental statistics for the behavioral sciences, David C. Howell
Statistical Methods for Psychology, David C. Howell
Mathematical statistics: problems and detailed solutions, Wiebe R. Pestman, Ivo B. Alberink
Nonparametric statistics for non-statisticians: a step-by-step approach, Gregory W. Corder, Dale I. Foreman
Statistics of extremes, Emil Julius Gumbel
Common errors in statistics (and how to avoid them), Phillip I. Good, James William Hardin
Statistics on the table: the history of statistical concepts and methods, Stephen M. Stigler
Statistics for Archaeologists: A Common Sense Approach, Robert D. Drennan
Practical statistics for astronomers, J. V. Wall, C. R. Jenkins
Statistical rules of thumb, Gerald Van Belle
Statistical demography and forecasting, Juha Alho, Bruce D. Spencer
Bayesian statistical modelling, P. Congdon
Introduction to Bayesian statistics, William M. Bolstad
Bayesian methods for data analysis, Bradley P. Carlin, Thomas A. Louis
The Bayesian choice: from decision-theoretic foundations to computational implementation, Christian P. Robert
Statistics Applied to Clinical Trials, Ton J. Cleophas, Aeilko H. Zwinderman, Toine F. Cleophas, Eugene P. Cleophas
Markov chains: models, algorithms and applications, Wai Ki Ching, Michael K. Ng
Applications of Markov chains in chemical engineering, Abraham Tamir
Discrete-time Markov chains: two-time-scale methods and applications, George Yin, Qing Zhang
Markov chain Monte Carlo simulations and their statistical analysis: with web-based fortran code, Bernd A. Berg
An introduction to Markov processes, Daniel W. Stroock
Markov chains: Gibbs fields, Monte Carlo simulation, and queues, Pierre Brémaud
