1. Modern Mathematical Statistics with Applications - Jay L. Devore, Kenneth N. Berk 2012 (electronic resource)

    Book Recommended

  2. An Introduction to Generalized Linear Models - Annette J. Dobson, Adrian Barnett 2018

    Book Recommended

  3. The elements of statistical learning: data mining, inference, and prediction - Trevor Hastie, J. H. Friedman, Robert Tibshirani c2009 (electronic resource)

    Book Recommended

  4. Forecasting: Principles and Practice - R.J. Hyndman, George Athanasopoulos 2018

    Book Recommended

  5. Data science and machine learning: mathematical and statistical methods - Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre, Radislav Vaisman 2019

    Book Recommended

  6. Simulation and the Monte Carlo Method - Reuven Y. Rubinstein, Dirk P. Kroese 2016 (electronic resource)

    Book Recommended

  7. Time Series Analysis and Its Applications: With R Examples - Robert H. Shumway, David S. Stoffer 2017 (electronic resource)

    Book Recommended

  8. Mind on statistics: Australian & New Zealand - Helen MacGillivray, Jessica M. Utts, R. F. Heckard 2014 (electronic resource)

    Book Recommended Alternative electronic access resource

  9. Mind on statistics - Jessica M. Utts, R. F. Heckard 2015

    Book Recommended

  10. Student solutions manual: Mind on statistics, fifth edition - Jessica M. Utts, R. F. Heckard, Jessica M. Utts 2015

    Book Recommended

  11. Modern Applied Statistics with S - W. N. Venables, B. D. Ripley 2002

    Book Recommended

  12. R for data science: import, tidy, transform, visualize, and model data - Hadley Wickham, Garrett Grolemund 2017 (electronic resource)

    Book Recommended

  13. Past Central Exam Papers 1 item
    1. Past Central Exam Papers

      Webpage  Follow the link and search for past exam papers by course code.