A new flexible extension of the Lindley distribution with applications
A new general family of distributions based on the Lindley model was introduced. Some properties of the proposed model, including moments, quantiles, and order statistics are presented. In addition, some reliability measures of this model were investigated. The parameters were estimated using the mo...
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2022
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oai:doaj.org-article:693017cb0b8d4e9783d89801b01fc89f2021-11-28T04:28:45ZA new flexible extension of the Lindley distribution with applications1018-364710.1016/j.jksus.2021.101714https://doaj.org/article/693017cb0b8d4e9783d89801b01fc89f2022-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1018364721003761https://doaj.org/toc/1018-3647A new general family of distributions based on the Lindley model was introduced. Some properties of the proposed model, including moments, quantiles, and order statistics are presented. In addition, some reliability measures of this model were investigated. The parameters were estimated using the moments and the maximum likelihood methods for complete and right-censored data. Then, the behavior of the maximum likelihood estimator was investigated in a simulation study. Finally, the model was applied to the analysis of two data sets to demonstrate its usefulness.Adel AlrasheediAbdulrahman AbouammohMohamed KayidElsevierarticleMixture modelsGamma distributionFailure rateMean residual lifeMean inactivity timeScience (General)Q1-390ENJournal of King Saud University: Science, Vol 34, Iss 1, Pp 101714- (2022) |
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DOAJ |
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EN |
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Mixture models Gamma distribution Failure rate Mean residual life Mean inactivity time Science (General) Q1-390 |
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Mixture models Gamma distribution Failure rate Mean residual life Mean inactivity time Science (General) Q1-390 Adel Alrasheedi Abdulrahman Abouammoh Mohamed Kayid A new flexible extension of the Lindley distribution with applications |
description |
A new general family of distributions based on the Lindley model was introduced. Some properties of the proposed model, including moments, quantiles, and order statistics are presented. In addition, some reliability measures of this model were investigated. The parameters were estimated using the moments and the maximum likelihood methods for complete and right-censored data. Then, the behavior of the maximum likelihood estimator was investigated in a simulation study. Finally, the model was applied to the analysis of two data sets to demonstrate its usefulness. |
format |
article |
author |
Adel Alrasheedi Abdulrahman Abouammoh Mohamed Kayid |
author_facet |
Adel Alrasheedi Abdulrahman Abouammoh Mohamed Kayid |
author_sort |
Adel Alrasheedi |
title |
A new flexible extension of the Lindley distribution with applications |
title_short |
A new flexible extension of the Lindley distribution with applications |
title_full |
A new flexible extension of the Lindley distribution with applications |
title_fullStr |
A new flexible extension of the Lindley distribution with applications |
title_full_unstemmed |
A new flexible extension of the Lindley distribution with applications |
title_sort |
new flexible extension of the lindley distribution with applications |
publisher |
Elsevier |
publishDate |
2022 |
url |
https://doaj.org/article/693017cb0b8d4e9783d89801b01fc89f |
work_keys_str_mv |
AT adelalrasheedi anewflexibleextensionofthelindleydistributionwithapplications AT abdulrahmanabouammoh anewflexibleextensionofthelindleydistributionwithapplications AT mohamedkayid anewflexibleextensionofthelindleydistributionwithapplications AT adelalrasheedi newflexibleextensionofthelindleydistributionwithapplications AT abdulrahmanabouammoh newflexibleextensionofthelindleydistributionwithapplications AT mohamedkayid newflexibleextensionofthelindleydistributionwithapplications |
_version_ |
1718408382451286016 |