bimodality

These are the most extreme cases of bimodality possible.

Bimodality is the simultaneous use of two distinct pitch collections.

The bimodality does not represent a problem for predictions if the previous erupt time is seen.

Three basic models have been proposed to explain the bimodality found in occupancy frequency distributions.

Several tests of unimodality versus bimodality have been proposed: Haldane suggested one based on second central differences.

Bimodality may be generated by colonization-extinction metapopulation dynamics associated with a strong rescue effect.

That bimodality is prevalent in interspecific occupancy frequency distributions.

The bimodality index assumes that the distribution is a sum of two normal distributions with equal variances but differing means.

This creates bimodality of the logical control factor at lower values of creativity and corresponds to the engineer's imagination.

'Express saccades: is bimodality a result of the order of stimulus presentation?'

Specific deviations from normality such as asymmetry, heavy tails, or bimodality can be diagnosed based on detection of specific deviations from linearity.

Whenever morphological differences in the propagules, including distinct bimodality in size, were present within a genus distinct operational taxonomic units (OTUs) were recognized.

The bimodality in occupancy frequency distributions that is common in species communities, is confirmed to a result for certain mathematical and statistical properties of the probability distribution of occupancy.

This model is not particularly sensitive or informative as to the mechanisms generating bimodality in occupancy frequency distributions, because the mechanisms generating the lognormal species abundance distribution are still under heavy debate.

The third model that describes bimodality in the occupancy frequency distribution is based on the scaling pattern of occupancy under a self-similar assumption of species distributions (called the occupancy probability transition [OPT] model).

Various statisticians have proposed other interpretations, 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".

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.

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.