Modeling income on the basis of distribution mixture

• Authors: Sitek Grzegorz
• Languages of publication: EN

Abstracts

EN

Finite mixtures of probability distributions may be successfully used in the modeling of probability distributions of incomes. These distributions are typically heavy tailed and positively skewed. This article deals with the problem of determining the number of components in mixture modeling. This paper considers the likelihood of ratio-based testing of the null hypothesis of homogeneity in mixture models. The number of components is an important parameter in the applications of finite mixture models.

Keywords

EN

finite mixture; income distribution; maximum likelihood estimate; EM algorithm; number of components

• Publisher: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
• Journal: Mathematical Economics
• Year: 2014
• Issue: 10(17)
• Pages: 79-90

Contributors

author

Sitek Grzegorz

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