NormalDist.overlap() only needs one example (GH-12218)
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@ -553,23 +553,10 @@ of applications in statistics.
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Compute the `overlapping coefficient (OVL)
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<http://www.iceaaonline.com/ready/wp-content/uploads/2014/06/MM-9-Presentation-Meet-the-Overlapping-Coefficient-A-Measure-for-Elevator-Speeches.pdf>`_
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between two normal distributions.
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Measures the agreement between two normal probability distributions.
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Returns a value between 0.0 and 1.0 giving the overlapping area for
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two probability density functions.
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In this `example from John M. Linacre
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<https://www.rasch.org/rmt/rmt101r.htm>`_ about 80% of each
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distribution overlaps the other:
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.. doctest::
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>>> N1 = NormalDist(2.4, 1.6)
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>>> N2 = NormalDist(3.2, 2.0)
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>>> ovl = N1.overlap(N2)
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>>> f'{ovl * 100.0 :.1f}%'
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'80.4%'
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between two normal distributions, giving a measure of agreement.
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Returns a value between 0.0 and 1.0 giving `the overlapping area for
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two probability density functions
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<https://www.rasch.org/rmt/rmt101r.htm>`_.
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Instances of :class:`NormalDist` support addition, subtraction,
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multiplication and division by a constant. These operations
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