Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/194380
Title: On the Bivariate Composite Gumbel-Pareto Distribution
Author: Badea, Alexandra
Bolancé Losilla, Catalina
Vernic, Raluca
Keywords: Variables (Matemàtica)
Teoria de distribucions (Anàlisi funcional)
Teoria de l'estimació
Mesures de probabilitats
Gestió del risc
Variables (Mathematics)
Theory of distributions (Functional analysis)
Estimation theory
Probability measures
Risk management
Issue Date: Oct-2022
Publisher: MDPI
Abstract: In this paper, we propose a bivariate extension of univariate composite (two-spliced) distributions defined by a bivariate Pareto distribution for values larger than some thresholds and by a bivariate Gumbel distribution on the complementary domain. The purpose of this distribution is to capture the behavior of bivariate data consisting of mainly small and medium values but also of some extreme values. Some properties of the proposed distribution are presented. Further, two estimation procedures are discussed and illustrated on simulated data and on a real data set consisting of a bivariate sample of claims from an auto insurance portfolio. In addition, the risk of loss in this insurance portfolio is estimated by Monte Carlo simulation
Note: Reproducció del document publicat a: https://doi.org/10.3390/stats5040055
It is part of: Stats, 2022, vol. 5, num. 4, p. 948-969
URI: http://hdl.handle.net/2445/194380
Related resource: https://doi.org/10.3390/stats5040055
ISSN: 2571-905X
Appears in Collections:Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)

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