represents a mixture distribution whose CDF is given as a sum of the CDFs of the component distributions disti, each with weight wi.
- The cumulative distribution function for value is proportional to , where is the CDF for disti.
- The distributions disti need to be all continuous or all discrete, and have the same dimensionality.
- The weights wi can be any non-negative real numbers.
- MixtureDistribution can be used with such functions as Mean, CDF, and RandomVariate, etc.
Examplesopen all close all
Introduced in 2010Updated in 2016