bimodality การใช้

• Another bimodality index has been proposed by de Michele and Accatino.
• Another bimodality parameter has been proposed by Chaudhuri and Agrawal.
• A package for R is available for testing for bimodality.
• These are the most extreme cases of bimodality possible.
• The bimodality does not represent a problem for predictions if the previous erupt time is seen.
• Several tests of unimodality versus bimodality have been proposed : Haldane suggested one based on second central differences.
• 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.
• This measure is a weighted average of the degree of agreement the frequency distribution . " A " ranges from-1 ( perfect bimodality ) to + 1 ( perfect unimodality ).
• This measure is a weighted average of the degree of agreement the frequency distribution . " A " ranges from  " 1 ( perfect bimodality ) to + 1 ( perfect unimodality ).
• 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.
• Various other incorrect interpretations have been suggested, such as " lack of shoulders " ( where the " shoulder " is defined vaguely as the area between the peak and the tail, or more specifically as the area about one standard deviation from the mean ) or " bimodality ".
• However, plots of the distribution of the observed duration for a large number of gamma-ray bursts show a clear bimodality, suggesting the existence of two separate populations : a " short " population with an average duration of about 0.3 seconds and a " long " population with an average duration of about 30 seconds.