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Title: Multivariate Classes of GB2 Distributions with Applications
Author: Sarabia Alegría, José María
Prieto, Faustino
Jordá, Vanesa
Guillén, Montserrat
Keywords: Anàlisi multivariable
Distribució (Teoria de la probabilitat)
Multivariate analysis
Distribution (Probability theory)
Issue Date: 1-Jan-2021
Publisher: MDPI
Abstract: The general beta of the second kind distribution (GB2) is a flexible distribution which includes several relevant parametric families of distributions. This distribution has important applications in earnings and income distributions, finance and insurance. In this paper, several multivariate classes of the GB2 distribution are proposed. The different multivariate versions are based on two simple univariate representations of the GB2 distribution. The first type of multivariate distributions are constructed from a stochastic dependent representations defined in terms of gamma random variables. Using this representation and beginning by two particular multivariate GB2 distributions, multivariate Singh-Maddala and Dagum income distributions are presented and several properties are obtained. Then, a general multivariate GB2 distribution is introduced. The second type of multivariate distributions are based on a generalization of the distribution of the order statistics, which gives place to multivariate GB2 distribution with support above the diagonal. We discuss the role of these families in modeling bivariate income distributions. Finally, an empirical application is given, where we show that a multivariate GB2 distribution can be useful for modeling compound precipitation and wind events in the whole range
Note: Reproducció del document publicat a:
It is part of: Mathematics, 2021, vol. 9, num. 1, p. 72
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ISSN: 2227-7390
Appears in Collections:Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)

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