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REFERENCES

  1. G. Zech, ``Comparing statistical data to Monte Carlo simulation - parameter fitting and unfolding'', DESY 95-113, June 1995.
  2. B. Efron, ``Why isn't everyone a Bayesian?'', Am. Stat. 40 (1986) 1.
  3. PDG stands for Data Particle Group, which edits the ``Review of particle physics'', a very influential collection of data, formulae and methods, including sections on Probability and Statistics. The latest issues are: R.M. Barnet et al. Phys. Rev. D 54 (1996) 1; C. Caso et al. Eur. Phys. J. C3 (1998) 1 (http://pdg.lbl.gov/).
  4. F. James and M. Roos, ``MINUIT - system for function minimization and analysis of the parameter errors and correlations'', Comp. Phys. Comm. 10 (1975) 343.
  5. http://www.slac.stanford.edu/spires/hep,
    http://xxx.lanl.gov/,
    http://alice.cern.ch/Preprints,
    http://wwwas.cern.ch/library/hepdoc/hepdoc.html,
    http://www-lib.kek.jp/publib.html.
  6. R.D. Cousins, ``Why isn't every physicist a Bayesian?'', Am. J. Phys. 63 (1995) 398.
  7. G. D'Agostini, ``Bayesian reasoning in High Energy Physics - principles and applications'', lecture notes of the Academic Training given at CERN (Geneva), May 25-29 1998. A draft is available on the web at http://www.cern.ch/Training/ACAD/reglec_E.html.
  8. DIN Deutsches Institut für Normung, ``Grunbegriffe der Messtechnick - Behandlung von Unsicherheiten bei der Auswertung von Messungen'' (DIN 1319 Teile 1-4), Beuth Verlag GmbH, Berlin, Germany, 1985.
  9. R. Kaarls, BIPM proc.-Verb. Com. Int. Poids et Mesures 49 (1981), A1-A2 (in french);
    P. Giacomo, Metrologia 17 (1981) 73 (draft of english version; for the official BIPM translation see [10] or [12]).
  10. International Organization for Standardization (ISO), ``Guide to the expression of uncertainty in measurement'', Geneva, Switzerland, 1993.
  11. International Organization for Standardization (ISO), ``International vocabulary of basic and general terms in metrology'', Geneva, Switzerland, 1993.
  12. B.N. Taylor and C.E. Kuyatt, ``Guidelines for evaluating and expressing uncertainty of NIST measurement results'', NIST Technical Note 1297, September 1994;
    (www: http://physics.nist.gov/Pubs/guidelines/outline.html).
  13. Without any attempt to be complete, I would like to cite those which are more familiar to HEP physicists (I have including also the Bayesian book by Sivia that has attracted recently the attention of my colleagues): M.C. Barford, ``Experimental measurements: precision, error and truth'', John Wiley & Sons, 1985; R.J. Barlow, ``Statistics'', John Wiley & Sons Ltd, Chichester, 1989; P.R. Bevington and D.K. Robinson, ``Data Reduction and Error analysis for the Physical Sciences'', McGraw-Hill, 1992; S. Brandt, Statistics and computational methods in data analysis, North-Holland, 1976; G. Cowan, ``Statistical data analysis'', Clarendon Press, Oxford, 1998; W. T. Eadie, D. Drijard, F. E. James, M. Roos, B. Sadoulet, ``Statistical Methods in Experimental Physics'', North Holland, Amsterdam, 1971; A. G. Frodeson, O. Skjeggestad, H. Tofte, ``Probability and Statistics in Particle Physics'', Columbia University, New York, 1979; L. Lyons, ``Statistics for nuclear and particle physicists'', Cambridge University Press, 1986, reprinted 1992; L. Lyons, ``A practical guide to data analysis for physical science students'', Cambridge University Press, 1991; A.M. Mood, F.A. Graybill and D.C. Boes, ``Introduction to the theory of statistics'', McGraw-Hill, 1984. L. G. Parrat, ``Probability and Experimental Errors in Science'', John Wiley & Sons Ltd, 1994; S. Rabinovich, ``Measurement Errors: Theory and Practice'', American Institute of Physics, New York, 1993. B. P. Roe, ``Probability and Statistics in Experimental Physics'', Springer-Verlag New York Inc, 1992; D.S. Sivia, ``Data analysis - a Bayesian tutorial'', Clarendon Press, Oxford, 1996. D.L. Smith, "Probability, Statistics and Data Uncertainties in Nuclear Science and Technology", American Nuclear Society, 1991; G. L. Squires, ``Practical physics'', Cambridge University Press, third edition, 1985; J.R. Taylor, ``An introduction for error analysis'', University Science Books, 1982; H.D. Young, ``Statistical analysis of experimental data'', McGraw-Hill, 1962.
  14. V. Blobel et al., ``Formulae and Methods in Experimental Data Evaluation'', European Physical Society, 1984.
  15. R.K. Bock and W. Krischer, ``The data analysis Briefbook'', Springer, 1998 (http://www.cern.ch/Physics/DataAnalysis/BriefBook/)
  16. P.L. Galison, ``How experiments end'', The University of Chicago Press, 1987.
  17. G. D'Agostini, ``A multidimensional unfolding method based on Bayes' theorem'', Nucl. Instr. Meth. A362 (1995) 487.
  18. G.J. Feldman and R.D. Cousins, ``Unified approach to the classical statistical analysis of small signal'', Phys. Rev. D57 (1998) 3873, April 1, 1998.
  19. H1 Collaboration, C. Adloff et al., ``Observation of events at very high Q2 in ep collisions at HERA'', Z. Phys., C74 (1997) 191;
    ZEUS Collaboration, J. Breitweg et al., ``Comparison of ZEUS data with Standard Model predictions for e+p -> e + X'', Z. Phys., C74 (1997) 207.
  20. M.J. Schervish, ``P values: what they are and what they are not'', Am. Stat. 50 (1996) 203.
  21. J.O. Berger and D.A. Berry, ``Statistical analysis and the illusion of objectivity'', American Scientist 76 (1988) 159.
  22. ``DESY Science Information on Recent HERA Results'', Feb. 19, 1997,
    http://www.desy.de/pr-info/desy-recent-hera-results-feb97_e.html.
  23. DESY'98 - Highlights from the DESY Research Center, ``Throwing 'heads' seven times in a row - what if it was just a statistical fluctuation?'' (report obtainable free of charge by DESY: http://www.desy.de).
  24. P. Bock et al. (ALEPH, DELPHI, L3 and OPAL Collaborations), ``Lower bound for the standard model Higgs boson mass from combining the results of the four LEP experiments'', CERN-EP/98-046, April 1, 1998.
  25. P. Janot and F. Le Diberder, ``Combining 'limits' '', CERN-PPE-97-053, May 1997.
  26. A. Zellner, ``Optimal information processing and Bayes's theorem'', Am. Stat. 42 (1988) 278 (with discussion by E.T. Jaynes, B.M. Hill, J.M. Bernardo and S. Kullback).
  27. B. de Finetti, ``Theory of probability'', J. Wiley & Sons, 1974.
  28. G. D'Agostini, ``Jeffreys priors versus experienced physicist priors'', contributed paper to the 6th Valencia International Meeting on Bayesian Statistics, May 30th - June 4th, 1998, Alcossebre (Spain), physics/9811045.
  29. J.M. Bernardo, A.F.M. Smith, ``Bayesian theory'', John Wiley & Sons Ltd, 1994.

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