A Composite Half-Normal-Pareto Distribution with Applications to Income and Expenditure Data

被引:0
|
作者
Olmos, Neveka M. [1 ]
Gomez-Deniz, Emilio [2 ,3 ]
Venegas, Osvaldo [4 ]
Gomez, Hector W. [1 ]
机构
[1] Univ Antofagasta, Fac Ciencias Basicas, Dept Estadist & Ciencias Datos, Antofagasta 1240000, Chile
[2] Univ Las Palmas Gran Canaria, Dept Quantitat Methods Econ, Las Palmas Gran Canaria 35017, Spain
[3] Univ Las Palmas Gran Canaria, TIDES Inst, Las Palmas Gran Canaria 35017, Spain
[4] Univ Catolica Temuco, Fac Ingn, Dept Ciencias Matemat & Fis, Temuco 4780000, Chile
关键词
half-normal distribution; heavy-tailed distribution; maximum likelihood; VaR; EXTENSION;
D O I
10.3390/math12111631
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The half-normal distribution is composited with the Pareto model to obtain a uni-parametric distribution with a heavy right tail, called the composite half-normal-Pareto distribution. This new distribution is useful for modeling positive data with atypical observations. We study the properties and the behavior of the right tail of this new distribution. We estimate the parameter using a method based on percentiles and the maximum likelihood method and assess the performance of the maximum likelihood estimator using Monte Carlo. We report three applications, one with simulated data and the others with income and expenditure data, in which the new distribution presents better performance than the Pareto distribution.
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页数:17
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