- Joel Heinrich, Pennsylvania (chair)
- John Conway, UC Davis
- Luc Demortier, Rockefeller
- Chris Genovese, Carnegie Mellon University Statistics Department
- Tom Junk, Fermilab
- Louis Lyons, Imperial College London
- Giovanni Punzi, Pisa
- Larry Wasserman, Carnegie Mellon University Statistics Department
- Daniel Whiteson, UC Irvine
- Weiming Yao, Lawrence Berkeley National Lab

**The mandate from the CDF Spokespersons
is as follows:**

"The charge of the Statistics Committee is to identify typical problems in statistical analysis of CDF data and to propose solutions which conform to sound statistical procedures. Examples of such problems are setting limits, fitting to theoretical predictions and merging of results from different analyses/experiments. The committee is requested to document their recommendations in the form of CDF notes and public Web pages, and present the proposals to the CDF Scientific Council for approval."

**The committee is requested to identify
the first set of problems to be treated by June 30 2000 and to
provide well documented recommendations for that set by January
2001. The particular problem of setting limits should be treated
on a shorter time scale to take advantage of recent information
from the CERN and Fermilab Limits Workshops."**

**We encourage input from members of the CDF
collaboration. They should feel free to email the
Statistics Committee with any comments or suggestions they may
have. We also welcome their questions (no matter
how large or small) on statistical issues related to high energy
physics analyses.**

**There are a number of complex issues
that arise in the use of statistical inference to extract
information about physical important phenomena. The
recommendations documented in the links below range from links to
books and notes to discussion of the merits and known pitfalls of
various techniques. This information is organized along the lines
of flow of a typical analysis:**

- Sample selection
- Data modeling and fitting
- Systematic Uncertainties
- Interpretation

- Louis Lyons,
__Statistics for Particle and Nuclear Physicists__Cambridge University Press, 1986, ISBN 0521379342. Errata - Glen Cowan,
__Statistical Data Analysis__, Oxford Univ. Press, 1998, ISBN 0198501552 - B. P. Roe,
__Probability and Statistics in Experimental Physics__, Springer, 1992, ISBN 0387978496 - A.G. Frodesen, et al.,
__Probability and statistics in particle physics__, Columbia University Press, 1979, ISBN 8200019063 - Frederick James,
__Statistical Methods in Experimental Physics__, 2nd ed, World Scientific, 2007, ISBN 9789812705273 - D. Sivia and J. Skilling,
__Data Analysis, A Bayesian Tutorial__, 2nd ed., Oxford University Press, 2006, ISBN 9780198568322 - A. Gelman,
__Bayesian Data Analysis__, CRC Press, 1995, ISBN 0412039915 - R. J. Barlow,
__Statistics__, J. Wiley, 1989, ISBN 0471922951

- CERN Confidence Limits Workshop, January 2000
- FNAL Confidence Limits Workshop, March 2000
- Advanced Statistical Methods in Particle Physics, Durham, March 2002
- PHYSTAT2003: Statistical Problems in Particle Physics, Astrophysics and Cosmology, SLAC, September 2003
- PHYSTAT2005: Statistical Problems in Particle Physics, Astrophysics and Cosmology, Oxford, September 2005
- PHYSTAT-LHC: Workshop on Statistical Issues for LHC Physics, CERN, June 2007
- Statistics Section of Neutrino Unbound
- 2006 Banff Workshop on Statistcal Inference Problems in High Energy Physics and Astronmy
- 2010 Banff Workshop on Statistical Issues Relevant to Significance of Discovery Claims
- Statistics Mini Workshop at CERN, Feb. 13-14, 2013

- Particle Data Group: Reviews by G. Cowan: Probability, Statistics, Monte Carlo Techniques
- BaBar Statistics Working Group Recommended Statistical Procedures for BaBar
- ATLAS Higgs Working Group: Statistical Tools
- Data Analysis Briefbook, a good glossary of statistical terms
- SLAC User's Organization Lectures on Statistics, Aug-Sep 2000
- Statistical Software Resources on the Web by Jim Linnemann
- Phystat Physics Statistics Code Repository
- Practical Statistics for Physicists: Lectures on Statistics by Louis Lyons
- Systematic Errors: by Joel Heinrich and Louis Lyons; chapter in the 2007 Annual Review of Nuclear and Particle Science