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[GDJ17] A method for the Generate a random sample from a finite mixture distributions
Conférence Internationale avec comité de lecture : CMCGS 2017, March 2017, Vol. 6, pp.1-4, Singapore,Mots clés: Finite mixture distribution, Mixture of normal distributions, Skew normal distribution.
Résumé:
A finite mixture model is a convex combination of more probability density functions.
By combining the properties of the individual probability density functions, mixture
models are capable of approximating any arbitrary distribution. In this work we propose a
method for the Generate a random sample from a finite mixture distribution.
The proposed method envelope conventional models: translation, scaling and translation-scaling.
BibTeX
| @inproceedings { | |||
| GDJ17, | |||
| title | = | "{A method for the Generate a random sample from a finite mixture distributions}", | |
| author | = | " D. Ghorbanzadeh and P. Durand and L. Jaupi ", | |
| booktitle | = | "{CMCGS 2017}", | |
| year | = | 2017, | |
| month | = | "March", | |
| volume | = | 6, | |
| pages | = | "1-4", | |
| address | = | " Singapore", | |
| } | |||
