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Antonino Ingargiola edited background-estimation.tex
about 8 years ago
Commit id: 273af156d95669037a4464de9bde496b31b76f7d
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The functions used to fit the background provide also a goodness-of-fit estimator
computed on the basis of the empirical distribution function (EDF)~\cite{Stephens1974,Parr1980}.
The ``distance'' between the EDF and the theoretical (i.e. exponential) cumulative distribution
represent represents and indicator of the quality of fit.
Two different distance metrics can be returned by the background fitting functions.
The first is the Kolgomorov-Smirnov statistics, which uses the maximum of the difference
between the EDF and the theoretical distribution. The second is the Cramér von Mises