This function calculates the Bimodality Separation of a data vector. Similar to Ashman, Bird, and Zepf's D statistic ("Ashman's D"), the Bimodality Separation statistic measures how differentiated two distributions (distribution components) are. However, this statistic uses the added assumption that both are Gaussian (normal) distributions (or that the distribution is a mixture of two Gaussian (normal) components). For instance, if the two distributions are identical, this statistic is zero.
1  bimodality_separation(mu1, mu2, sd1, sd2, ...)

mu1 
The mean of mode 1 
mu2 
The mean of mode 2 
sd1 
The standard deviation of mode 1 
sd2 
The standard deviation of mode 2 
... 
Pass through arguments. 
Zhang, C., Mapes, B., & Soden, B. (2003). Bimodality in tropical water vapour. Quarterly Journal of the Royal Meteorological Society, 129(594), 28472866.
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