# Advanced Statistics Training for Climate Research 2012

### 14.08.2012 - 17.08.2012

4-day intensive course on statistical modelling concepts for climate scientists. The course will be given by David Stephenson and Theodoros Economou, University of Exeter and will be held at Geophysical Institute, University of Bergen.

**Course description**

This is a 4-day intensive course on statistical modelling concepts for climate scientists. Since it is impossible in such a short course to go into any great depth, this course aims instead to convey the fundamental modelling concepts in statistics and an understanding and ability of how to use them correctly to interpret climate data. The course will consist of nine 1-hour lectures and 8 hours of hands-on computer sessions.

**Learning outcomes:**

- Deeper appreciation of statistical modelling
- Awareness of some relevant areas of advanced statistics
- Ability to apply methods intelligently using the R statistics language

**Useful references:**

- R Language (free download, documentation, etc.) www.r-project.org
- Lecture notes on basic statistical concepts: http://secamlocal.ex.ac.uk/people/staff/dbs202/cag/courses/MT37C/course-d.pdf
- Daniel S. Wilks, Statistical Methods in the Atmospheric
Sciences, 3
^{rd}edition - Faraway, J. (2004) Linear Models with R, Chapman and Hall/CRC, 240pp.
- Draper NR, Smith H. Applied Regression Analysis (3
^{rd}edition). New York:Wiley 1998. - A.C. Davison, Statistical Models, Cambridge University Press 2003.
- M.J. Crawley, Statistics: An Introduction Using R, Wiley and Sons 2005.
- C. Chatfield, The Analysis of Time-series: An Introduction, CRC
press, 6
^{th}edition 2003. - C. Chatfield, Time series forecasting, Chapman and Hall/CRC press, 2000.
- P. Bloomfield, Fourier Analysis of Time Series: An Introduction (Wiley Series in Probability & Statistics), 2000.
- S. Coles, An Introdution to Statistical Modelling of Extreme Values, 224 pages, Springer, 2001.