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Particle Data Group Book review on Statistics, Glen Cowan
(There are also sections on Probability Theory and on Monte Carlo Techniques.)
This is a short summary, and not intended to be a tutorial -
"Statistical Data Analysis" Glen Cowan
One of several books on statistics written by particle physicists; but at 220 pages long, would best be considered as a reference document -
CDF Statistics Committee web-page
Contains links to several interesting notes e.g.:- "Likelihood" Louis Lyons
- "Bayes or Frequentism?" Louis Lyons
- "Methods for comparing two hypotheses" Louis Lyons
- "Simple facts about p-values" Craig Blocker et al.
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"Why isn't every physicist a Bayesian" Bob Cousins
A simple example illustrating the different statistical methods of estimating parameter values and uncertainties - "Systematic Errors" Joel Heinrich et al
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"A Unified Approach to the Classical Statistical Analysis of Small Signals" Gary Feldman and Bob Cousins
An alternative frequentist approach, which reduces the chance of empty intervals, and avoids 'flip-flopping'. - "Blind analyses in nuclear and particle physics" Joshua Kein and Aaron Roodman
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"PHYSTAT-2011 Workshop Proceedings"
Proceedings of the most recent PHYSTAT Workshop on Statistical Issues in Particle Physics. Videos of the individual talks are at http://indico.cern.ch/event/107747/timetable/#20110117 - Virtual talk on the bounded Gaussian problem Bob Cousins
- Asymptotic formulae for likelihood-based tests of new physics Glen Cowan, Kyle Cranmer, Eilam Gross and Ofer Vitells
- A draft summary of the IPMU workshop in Kashiwa, by Yoshi Uchida
- An Article in Annual Reviews on Individualized inference by Keli Liu and Xiao-Li Meng. Also available at the Annual Reviews of Statistics web site.
19–21 Sep 2016
US/Central timezone
The following books ad articles are suggested as prior reading to help provide some background information on statistical issues in particle physics analyses. Many are available freely online. We do not expect participants to read them all.