@@ -1501,14 +1501,17 @@ def minos(
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Names of parameters to generate Minos errors for. If no positional
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arguments are given, Minos is run for each parameter.
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cl : float or None, optional
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- Confidence level of the interval. If not set or None, a standard 68 %
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- interval is computed (default). If 0 < cl < 1, the value is interpreted as
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- the confidence level (a probability). For convenience, values cl >= 1 are
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- interpreted as the probability content of a central symmetric interval
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- covering that many standard deviations of a normal distribution. For
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- example, cl=1 is interpreted as 68.3 %, and cl=2 is 84.3 %, and so on. Using
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- values other than 0.68, 0.9, 0.95, 0.99, 1, 2, 3, 4, 5 require the scipy
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- module.
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+ Confidence level of the interval. If not set or None, a standard
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+ interval is computed (default). A standard interval has about 68.3 %
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+ confidence, which is the probability of being within one standard
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+ deviation around the mean of a normal distribution. If 0 < cl < 1,
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+ the value is interpreted as the confidence level (a probability).
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+ For convenience, values cl >= 1 are interpreted as the probability
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+ content of a central symmetric interval covering that many standard
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+ deviations of a normal distribution. For example, cl=1 is
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+ interpreted as about 68.3 %, and cl=2 as 84.3 %, and so on. Using
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+ values other than 0.68, 0.9, 0.95, 0.99, 1, 2, 3, 4, 5 require the
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+ scipy module.
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ncall : int or None, optional
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Limit the number of calls made by Minos. If None, an adaptive internal
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heuristic of the Minuit2 library is used (Default: None).
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