Course description: The lectures will present an introduction to statistical methods as used in High Energy Physics. As the time will be very limited, the course will seek mainly to define the important issues and to introduce the most widely used tools. Topics will include the interpretation and use of probability, estimation of parameters and testing of hypotheses.

Lecture Notes in PowerPoint or pdf formats:

• Lecture 1: ppt, pdf
• Lecture 2: ppt, pdf
• Lecture 3: ppt, pdf
• Lecture 4: ppt, pdf
• Lecture 5: ppt, pdf

The YETI lectures are adapted from a course for postgrads at the University of London. The complete set of lecture notes for that course plus other resources can be found here.

Here are some other statistics talks I have given recently:

• Statistical Methods in HEP: nuisance parameters and systematic errors, RHUL Particle Physics Group seminar, 22 March, 2006.
• Bayesian statistical methods for parton analyses, talk at DIS2006, Tsukuba, 22 April, 2006.
• The small-n problem in High Energy Physics, talk at Statistical Challenges in Modern Astronomy IV, Penn State Center for Astrostatistics, 12-15 June, 2006.

Some books:

G. Cowan, Statistical Data Analysis, Clarendon Press, Oxford, 1998.

R.J.Barlow, A Guide to the Use of Statistical Methods in the Physical Sciences, John Wiley, 1989;

W.T.Eadie et al., Statistical Methods in Experimental Physics, North-Holland, 1971;

S.Brandt, Statistical and Computational Methods in Data Analysis, Springer, New York, 1998;

L.Lyons, Statistics for Nuclear and Particle Physics, CUP, 1986.

PDG: You can also download the sections on probability (ps, pdf), statistics (ps, pdf), and Monte Carlo (ps, pdf) from the Particle Data Group.