Another bimodality index has been proposed by de Michele and Accatino.
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Another bimodality parameter has been proposed by Chaudhuri and Agrawal.
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A package for R is available for testing for bimodality.
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These are the most extreme cases of bimodality possible.
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The bimodality does not represent a problem for predictions if the previous erupt time is seen.
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Several tests of unimodality versus bimodality have been proposed : Haldane suggested one based on second central differences.
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The bimodality index proposed by Wang " et al " assumes that the distribution is a sum of two normal distributions with equal variances but differing means.
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This measure is a weighted average of the degree of agreement the frequency distribution . " A " ranges from-1 ( perfect bimodality ) to + 1 ( perfect unimodality ).
9.
This measure is a weighted average of the degree of agreement the frequency distribution . " A " ranges from " 1 ( perfect bimodality ) to + 1 ( perfect unimodality ).
10.
The combined distribution of heights of men and women is sometimes used as an example of a bimodal distribution, but in fact the difference in mean heights of men and women is too small relative to their standard deviations to produce bimodality.
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