On the three-spliced Exponential-Lognormal-Pareto distribution

To model statistical data coming from two di erent distributions, Cooray and Ananda [1] introduced a composite (two-spliced) Lognormal-Pareto model, that was further extended by Scollnik [9] and fitted to insurance data. Inspired by these studies, more general three-spliced composite models are cons...

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Main Authors: Bâcă Adrian, Vernic Raluca
Format: Article
Language:English
Published: Sciendo 2022-09-01
Series:Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica
Subjects:
Online Access:https://doi.org/10.2478/auom-2022-0032
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author Bâcă Adrian
Vernic Raluca
author_facet Bâcă Adrian
Vernic Raluca
author_sort Bâcă Adrian
collection DOAJ
description To model statistical data coming from two di erent distributions, Cooray and Ananda [1] introduced a composite (two-spliced) Lognormal-Pareto model, that was further extended by Scollnik [9] and fitted to insurance data. Inspired by these studies, more general three-spliced composite models are considered in this work, built by joining three di erent distributions. In particular, the study is focused on the three-spliced Exponential-Lognormal-Pareto distribution. The main characteristics of this model, as well as statistical inference are discussed. The parameters estimation is illustrated on random generated data.
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spelling doaj.art-a821a6d461124993837c14346c9613592022-12-22T04:35:09ZengSciendoAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica1844-08352022-09-01303213510.2478/auom-2022-0032On the three-spliced Exponential-Lognormal-Pareto distributionBâcă Adrian0Vernic Raluca1Doctoral School, Ovidius University of Constanta, 124 Mamaia, 900527Constanta, Romania.Faculty of Mathematics and Computer Science, Ovidius University of Constanta, 124 Mamaia, 900527Constanta, Romania.To model statistical data coming from two di erent distributions, Cooray and Ananda [1] introduced a composite (two-spliced) Lognormal-Pareto model, that was further extended by Scollnik [9] and fitted to insurance data. Inspired by these studies, more general three-spliced composite models are considered in this work, built by joining three di erent distributions. In particular, the study is focused on the three-spliced Exponential-Lognormal-Pareto distribution. The main characteristics of this model, as well as statistical inference are discussed. The parameters estimation is illustrated on random generated data.https://doi.org/10.2478/auom-2022-0032spliced distributionexponentiallognormalparetoparameters estimationprimary 60e05, 62f10secondary 62-08
spellingShingle Bâcă Adrian
Vernic Raluca
On the three-spliced Exponential-Lognormal-Pareto distribution
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica
spliced distribution
exponential
lognormal
pareto
parameters estimation
primary 60e05, 62f10
secondary 62-08
title On the three-spliced Exponential-Lognormal-Pareto distribution
title_full On the three-spliced Exponential-Lognormal-Pareto distribution
title_fullStr On the three-spliced Exponential-Lognormal-Pareto distribution
title_full_unstemmed On the three-spliced Exponential-Lognormal-Pareto distribution
title_short On the three-spliced Exponential-Lognormal-Pareto distribution
title_sort on the three spliced exponential lognormal pareto distribution
topic spliced distribution
exponential
lognormal
pareto
parameters estimation
primary 60e05, 62f10
secondary 62-08
url https://doi.org/10.2478/auom-2022-0032
work_keys_str_mv AT bacaadrian onthethreesplicedexponentiallognormalparetodistribution
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