Mixture Models in Statistics

Ehud Makov

doi:10.1016/B0-08-043076-7/00464-2

Mixture Models in Statistics

Ehud Makov

Department of Statistics

Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary › peer-review

Abstract

Mixture models are a discrete or continuous weighted combination of distributions aimed at representing a heterogeneous population comprising of several (two or more) distinct subpopulations. Such models are often used to approximate nonstandard distributions when the underlying population can be regarded as homogenous. A mathematical definition of mixture models is provided, several of the diverse applications of such models are outlined, and the main methods of estimating the model's parameters are discussed.

Original language	English
Title of host publication	International Encyclopedia of the Social & Behavioral Sciences
Publisher	Elsevier Science Ltd.
Pages	9910-9915
ISBN (Print)	9780080430768
DOIs	https://doi.org/10.1016/B0-08-043076-7/00464-2
State	Published - 2001

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10.1016/B0-08-043076-7/00464-2

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title = "Mixture Models in Statistics",

abstract = "Mixture models are a discrete or continuous weighted combination of distributions aimed at representing a heterogeneous population comprising of several (two or more) distinct subpopulations. Such models are often used to approximate nonstandard distributions when the underlying population can be regarded as homogenous. A mathematical definition of mixture models is provided, several of the diverse applications of such models are outlined, and the main methods of estimating the model's parameters are discussed.",

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BT - International Encyclopedia of the Social & Behavioral Sciences

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Mixture Models in Statistics

Abstract

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