Abstract

Properties of finite mixtures of normal distributions are considered. Their behavioral similarities and differences relative to normal distributions are studied. A practical application of finite mixtures of normal distributions for the simulating the noise of neurophysiological signals is described. It is shown that the Aitken estimate can be used for the source amplitudes in the considered model.

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