Title:

Modeling income on the basis of distribution mixture

Group publication title:

Mathematical Economics

Creator:

Sitek, Grzegorz

Subject and Keywords:

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

Description:

Mathematical Economics, 2014, Nr 10 (17), s. 79-90

Abstrakt:

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.

Publisher:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Place of publication:

Wrocław

Date:

2014

Resource Type:

artykuł

Format:

application/pdf

Resource Identifier:

doi:10.15611/me.2014.10.06

Language:

eng

Relation:

Mathematical Economics, 2014, Nr 10 (17)

Rights:

Wszystkie prawa zastrzeżone (Copyright)

Access Rights:

Dla wszystkich w zakresie dozwolonego użytku

Location:

Uniwersytet Ekonomiczny we Wrocławiu