A new Pareto-type distribution with applications in reliability and income data
A new Pareto-type distribution is introduced and studied. This new model is a generalization of the well-known Pareto distribution. We derive some of its probabilistic and inferential properties. We deduce the mathematical form of the Lorenz curve and the Gini index associated with the new model....
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ri-123456789-496982022-11-09T18:40:49Z A new Pareto-type distribution with applications in reliability and income data Bourguignon, Marcelo Saulo, Helton Fernandez, Rodrigo Nobre Pareto distribution Income distribution Maximum likelihood estimation Gini coefficient Reliability A new Pareto-type distribution is introduced and studied. This new model is a generalization of the well-known Pareto distribution. We derive some of its probabilistic and inferential properties. We deduce the mathematical form of the Lorenz curve and the Gini index associated with the new model. The maximum likelihood estimators are derived and their performance are evaluated through a Monte Carlo simulation study. Finally, we illustrate the flexibility of the new distribution by means of three applications to real data sets. 2022-11-09T18:38:58Z 2022-11-09T18:38:58Z 2016-04 article BOURGUIGNON, Marcelo S.; SAULO, Helton; FERNANDEZ, Rodrigo N. A new Pareto-type distribution with applications in reliability and income data. Physica A, v. 457, p. 166-175, 2016. Disponível em: http://www.sciencedirect.com/science/article/pii/S0378437116300413?via%3Dihub. Acesso em: 07 dez. 2017 https://repositorio.ufrn.br/handle/123456789/49698 https://doi.org/10.1016/j.stamet.2016.01.002 en Acesso Aberto Physica A |
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language |
English |
topic |
Pareto distribution Income distribution Maximum likelihood estimation Gini coefficient Reliability |
spellingShingle |
Pareto distribution Income distribution Maximum likelihood estimation Gini coefficient Reliability Bourguignon, Marcelo Saulo, Helton Fernandez, Rodrigo Nobre A new Pareto-type distribution with applications in reliability and income data |
description |
A new Pareto-type distribution is introduced and studied. This new model is a
generalization of the well-known Pareto distribution. We derive some of its probabilistic
and inferential properties. We deduce the mathematical form of the Lorenz curve and the
Gini index associated with the new model. The maximum likelihood estimators are derived
and their performance are evaluated through a Monte Carlo simulation study. Finally, we
illustrate the flexibility of the new distribution by means of three applications to real data
sets. |
format |
article |
author |
Bourguignon, Marcelo Saulo, Helton Fernandez, Rodrigo Nobre |
author_facet |
Bourguignon, Marcelo Saulo, Helton Fernandez, Rodrigo Nobre |
author_sort |
Bourguignon, Marcelo |
title |
A new Pareto-type distribution with applications in reliability and income data |
title_short |
A new Pareto-type distribution with applications in reliability and income data |
title_full |
A new Pareto-type distribution with applications in reliability and income data |
title_fullStr |
A new Pareto-type distribution with applications in reliability and income data |
title_full_unstemmed |
A new Pareto-type distribution with applications in reliability and income data |
title_sort |
new pareto-type distribution with applications in reliability and income data |
publisher |
Physica A |
publishDate |
2022 |
url |
https://repositorio.ufrn.br/handle/123456789/49698 https://doi.org/10.1016/j.stamet.2016.01.002 |
work_keys_str_mv |
AT bourguignonmarcelo anewparetotypedistributionwithapplicationsinreliabilityandincomedata AT saulohelton anewparetotypedistributionwithapplicationsinreliabilityandincomedata AT fernandezrodrigonobre anewparetotypedistributionwithapplicationsinreliabilityandincomedata AT bourguignonmarcelo newparetotypedistributionwithapplicationsinreliabilityandincomedata AT saulohelton newparetotypedistributionwithapplicationsinreliabilityandincomedata AT fernandezrodrigonobre newparetotypedistributionwithapplicationsinreliabilityandincomedata |
_version_ |
1773961120385597440 |