Abstract
This chapter contains a detailed description of the statistical procedures implemented in the analysis to extract the final results. The likelihood function and the statistical procedures used to test the fit results are described. In addition this chapter illustrates the tools used to scrutinize and validate the fit results.
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Notes
- 1.
This means, for example, that moving the parameter \(\alpha \) of the jet energy scale by 1 corresponds in shifting the energy calibration of the jet by 1\(\sigma \).
- 2.
The nominal fit indicates the maximum likelihood fit in which all the NPs and PoIs are left floating.
References
Metropolis N, Ulam S (1949), The Monte Carlo method. J Am Stat Assoc 44: 335. https://doi.org/10.1080/01621459.1949.10483310
Cowan G, Cranmer K, Gross E, Vitells O (2011) Asymptotic formulae for likelihood-based tests of new physics. Eur Phys J C 71:1554. https://doi.org/10.1140/epjc/s10052-011-1554-0arXiv: 1007.1727 [physics.data-an], Erratum: Eur Phys J C 73: 2501 (2013)
Gross E (2018) Practical statistics for High Energy Physics. In: CERN Yellow Reports. School Proceedings, vol 3, ed. by Mulders M, Zanderighi G 199, https://doi.org/10.23730/CYRSP-2018-003.199
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Di Gregorio, G. (2023). Statistical Treatment. In: A Beauty-ful Boson. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-031-20013-7_7
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DOI: https://doi.org/10.1007/978-3-031-20013-7_7
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