Documentation API of the 'jhpro.stat.ConfidenceLevel' Java class
ConfidenceLevel
jhpro.stat

Class ConfidenceLevel



  • public class ConfidenceLevelextends Object
    Confidence level calculations.

    For discoveries, 1-CLb indicates the probability that the background fluctuates to produce a distribution of candidates at least as signal-like as those observed in the data. For discovery, 1-CLb is required to be no more than 2.87x10-7, or twice that, depending on how one interprets what is meant by \xe2\x80\x9cfive sigma,\xe2\x80\x9d including just one side of a Gaussian tail or both. A \xe2\x80\x9cthree sigma\xe2\x80\x9d excess is defined to be 1-CLb = 1.3x10-3 or twice that. But forming discovery p-values, we must compute 1-CLb values of the order of 10-7. This computation involves generating of the order of 10^8 pseudoexperiments, just to be on the safe side.

    Read Reference: HEP-EX/9902006. see: Tom Junk,NIM A434, p. 435-443,

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