multimodal distribution

For multimodal distributions, the D4σ width is a better choice.

In practice, sampling from a horizontal slice of a multimodal distribution is difficult.

Values greater than 5/9 may indicate a bimodal or multimodal distribution.

Further, in multimodal distributions and discrete distributions, skewness is also difficult to interpret.

But for nonlinear models, such as GTM, we may obtain multimodal distributions.

More generally, a multimodal distribution is a continuous probability distribution with two or more modes, as illustrated in Figure 3.

It can fail in multimodal distributions, or in distributions where one tail is long but the other is heavy.

The histogram of the 5406 magnetic susceptibility measurements taken from 3.3 km of cores shows a multimodal distribution.

For multimodal distributions, this means that an EM algorithm may converge to a local maximum of the observed data likelihood function, depending on starting values.

This suggests that with suitable extensions it might be feasibleto use the binary correlation method to deal with severalinteracting subspaces involving multimodal distributions.

ProLogis Park du Hode is a multimodal distribution park, providing convenient access to major road, rail and sea transit networks.

The most common thresholding methods work on bimodal distributions, but algorithms have also been developed for unimodal distributions, multimodal distributions, and circular distributions.

The adepts of the third view believe that the types differ from the traits by having multimodal distributions in which the people are grouped with in definite points, representing pure types"."

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