A Compound Class of the Inverse Gamma and Power Series Distributions

In this paper, the inverse gamma power series (IGPS) class of distributions asymmetric is introduced. This family is obtained by compounding inverse gamma and power series distributions. We present the density, survival and hazard functions, moments and the order statistics of the IGPS. Estimation i...

Full description

Bibliographic Details
Main Authors: Pilar A. Rivera, Enrique Calderín-Ojeda, Diego I. Gallardo, Héctor W. Gómez
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/13/8/1328
_version_ 1797522027214536704
author Pilar A. Rivera
Enrique Calderín-Ojeda
Diego I. Gallardo
Héctor W. Gómez
author_facet Pilar A. Rivera
Enrique Calderín-Ojeda
Diego I. Gallardo
Héctor W. Gómez
author_sort Pilar A. Rivera
collection DOAJ
description In this paper, the inverse gamma power series (IGPS) class of distributions asymmetric is introduced. This family is obtained by compounding inverse gamma and power series distributions. We present the density, survival and hazard functions, moments and the order statistics of the IGPS. Estimation is first discussed by means of the quantile method. Then, an EM algorithm is implemented to compute the maximum likelihood estimates of the parameters. Moreover, a simulation study is carried out to examine the effectiveness of these estimates. Finally, the performance of the new class is analyzed by means of two asymmetric real data sets.
first_indexed 2024-03-10T08:20:48Z
format Article
id doaj.art-bca63409845643fdb90407cc3aee8333
institution Directory Open Access Journal
issn 2073-8994
language English
last_indexed 2024-03-10T08:20:48Z
publishDate 2021-07-01
publisher MDPI AG
record_format Article
series Symmetry
spelling doaj.art-bca63409845643fdb90407cc3aee83332023-11-22T09:59:30ZengMDPI AGSymmetry2073-89942021-07-01138132810.3390/sym13081328A Compound Class of the Inverse Gamma and Power Series DistributionsPilar A. Rivera0Enrique Calderín-Ojeda1Diego I. Gallardo2Héctor W. Gómez3Departamento de Matemáticas, Facultad de Ciencias Básicas, Universidad de Antofagasta, Antofagasta 1240000, ChileCentre for Actuarial Studies, Department of Economics, The University of Melbourne, Melbourne, VIC 3010, AustraliaDepartamento de Matemática, Facultad de Ingeniería, Universidad de Atacama, Copiapó 1530000, ChileDepartamento de Matemáticas, Facultad de Ciencias Básicas, Universidad de Antofagasta, Antofagasta 1240000, ChileIn this paper, the inverse gamma power series (IGPS) class of distributions asymmetric is introduced. This family is obtained by compounding inverse gamma and power series distributions. We present the density, survival and hazard functions, moments and the order statistics of the IGPS. Estimation is first discussed by means of the quantile method. Then, an EM algorithm is implemented to compute the maximum likelihood estimates of the parameters. Moreover, a simulation study is carried out to examine the effectiveness of these estimates. Finally, the performance of the new class is analyzed by means of two asymmetric real data sets.https://www.mdpi.com/2073-8994/13/8/1328asymmetric distributionspower series distributionsinverse gamma power seriesEM algorithm
spellingShingle Pilar A. Rivera
Enrique Calderín-Ojeda
Diego I. Gallardo
Héctor W. Gómez
A Compound Class of the Inverse Gamma and Power Series Distributions
Symmetry
asymmetric distributions
power series distributions
inverse gamma power series
EM algorithm
title A Compound Class of the Inverse Gamma and Power Series Distributions
title_full A Compound Class of the Inverse Gamma and Power Series Distributions
title_fullStr A Compound Class of the Inverse Gamma and Power Series Distributions
title_full_unstemmed A Compound Class of the Inverse Gamma and Power Series Distributions
title_short A Compound Class of the Inverse Gamma and Power Series Distributions
title_sort compound class of the inverse gamma and power series distributions
topic asymmetric distributions
power series distributions
inverse gamma power series
EM algorithm
url https://www.mdpi.com/2073-8994/13/8/1328
work_keys_str_mv AT pilararivera acompoundclassoftheinversegammaandpowerseriesdistributions
AT enriquecalderinojeda acompoundclassoftheinversegammaandpowerseriesdistributions
AT diegoigallardo acompoundclassoftheinversegammaandpowerseriesdistributions
AT hectorwgomez acompoundclassoftheinversegammaandpowerseriesdistributions
AT pilararivera compoundclassoftheinversegammaandpowerseriesdistributions
AT enriquecalderinojeda compoundclassoftheinversegammaandpowerseriesdistributions
AT diegoigallardo compoundclassoftheinversegammaandpowerseriesdistributions
AT hectorwgomez compoundclassoftheinversegammaandpowerseriesdistributions