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Mixture distribution
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==Mixtures within a parametric family== The mixture components are often not arbitrary probability distributions, but instead are members of a [[parametric family]] (such as normal distributions), with different values for a parameter or parameters. In such cases, assuming that it exists, the density can be written in the form of a sum as: <math display="block"> f(x; a_1, \ldots , a_n) = \sum_{i=1}^n \, w_i \, p(x;a_i) </math> for one parameter, or <math display="block"> f(x; a_1, \ldots , a_n, b_1, \ldots , b_n) = \sum_{i=1}^n \, w_i \, p(x;a_i,b_i) </math> for two parameters, and so forth.
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