Some common and dynamic properties of logarithmic Pareto distribution with applications
The Pareto distribution satisfies the power law, which is widely used in physics, biology, earth and planetary sciences, economics, finance, computer science, and many other fields. In this article, the logarithmic Pareto distribution, a logarithmic transformation of the Pareto distribution, is pres...
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De Gruyter
2021
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oai:doaj.org-article:e09f4da9c06e45a8b3207f23497a30742021-12-05T14:11:02ZSome common and dynamic properties of logarithmic Pareto distribution with applications2391-547110.1515/phys-2021-0082https://doaj.org/article/e09f4da9c06e45a8b3207f23497a30742021-11-01T00:00:00Zhttps://doi.org/10.1515/phys-2021-0082https://doaj.org/toc/2391-5471The Pareto distribution satisfies the power law, which is widely used in physics, biology, earth and planetary sciences, economics, finance, computer science, and many other fields. In this article, the logarithmic Pareto distribution, a logarithmic transformation of the Pareto distribution, is presented and studied. The moments, percentiles, skewness, kurtosis, and some dynamic measures such as hazard rate, mean residual life, and quantile residual life are discussed. The parameters were estimated by quantile and maximum likelihood methods. A simulation study was conducted to investigate the efficiency, consistency, and behavior of the maximum likelihood estimator. Finally, the proposed distribution was fitted to some datasets to show its usefulness.Kayid MohamedDe Gruyterarticlepareto distributionlogarithmic transformationmaximum likelihood estimationPhysicsQC1-999ENOpen Physics, Vol 19, Iss 1, Pp 669-678 (2021) |
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pareto distribution logarithmic transformation maximum likelihood estimation Physics QC1-999 |
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pareto distribution logarithmic transformation maximum likelihood estimation Physics QC1-999 Kayid Mohamed Some common and dynamic properties of logarithmic Pareto distribution with applications |
description |
The Pareto distribution satisfies the power law, which is widely used in physics, biology, earth and planetary sciences, economics, finance, computer science, and many other fields. In this article, the logarithmic Pareto distribution, a logarithmic transformation of the Pareto distribution, is presented and studied. The moments, percentiles, skewness, kurtosis, and some dynamic measures such as hazard rate, mean residual life, and quantile residual life are discussed. The parameters were estimated by quantile and maximum likelihood methods. A simulation study was conducted to investigate the efficiency, consistency, and behavior of the maximum likelihood estimator. Finally, the proposed distribution was fitted to some datasets to show its usefulness. |
format |
article |
author |
Kayid Mohamed |
author_facet |
Kayid Mohamed |
author_sort |
Kayid Mohamed |
title |
Some common and dynamic properties of logarithmic Pareto distribution with applications |
title_short |
Some common and dynamic properties of logarithmic Pareto distribution with applications |
title_full |
Some common and dynamic properties of logarithmic Pareto distribution with applications |
title_fullStr |
Some common and dynamic properties of logarithmic Pareto distribution with applications |
title_full_unstemmed |
Some common and dynamic properties of logarithmic Pareto distribution with applications |
title_sort |
some common and dynamic properties of logarithmic pareto distribution with applications |
publisher |
De Gruyter |
publishDate |
2021 |
url |
https://doaj.org/article/e09f4da9c06e45a8b3207f23497a3074 |
work_keys_str_mv |
AT kayidmohamed somecommonanddynamicpropertiesoflogarithmicparetodistributionwithapplications |
_version_ |
1718371448924405760 |