A New Four-Parameter Inverse Weibull Model: Statistical Properties and Applications
A four-parameter Type II Topp Leone generalized inverse Weibull (TIITLGINW) model is suggested. The reliability study of the new model is provided. Quantiles, moments, moment generating function, and probability weighted moment are some of the mathematical properties being researched. The maximum li...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2022/5936783 |
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| _version_ | 1850224598579150848 |
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| author | Nagla Yahia Najwan Alsadat |
| author_facet | Nagla Yahia Najwan Alsadat |
| author_sort | Nagla Yahia |
| collection | DOAJ |
| description | A four-parameter Type II Topp Leone generalized inverse Weibull (TIITLGINW) model is suggested. The reliability study of the new model is provided. Quantiles, moments, moment generating function, and probability weighted moment are some of the mathematical properties being researched. The maximum likelihood (ML) estimate is employed for TIITLGINW parameters. A simulation study is conducted to estimate the model parameters of the TIITLGINW model. A single real-world collection of data is used to analyze TIITLGINW’s significance and accessibility. |
| format | Article |
| id | doaj-art-4eb1ad17a2c94eae8637c50d95939503 |
| institution | OA Journals |
| issn | 2314-4785 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-4eb1ad17a2c94eae8637c50d959395032025-08-20T02:05:35ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/5936783A New Four-Parameter Inverse Weibull Model: Statistical Properties and ApplicationsNagla Yahia0Najwan Alsadat1Cairo UniversityKing Saud UniversityA four-parameter Type II Topp Leone generalized inverse Weibull (TIITLGINW) model is suggested. The reliability study of the new model is provided. Quantiles, moments, moment generating function, and probability weighted moment are some of the mathematical properties being researched. The maximum likelihood (ML) estimate is employed for TIITLGINW parameters. A simulation study is conducted to estimate the model parameters of the TIITLGINW model. A single real-world collection of data is used to analyze TIITLGINW’s significance and accessibility.http://dx.doi.org/10.1155/2022/5936783 |
| spellingShingle | Nagla Yahia Najwan Alsadat A New Four-Parameter Inverse Weibull Model: Statistical Properties and Applications Journal of Mathematics |
| title | A New Four-Parameter Inverse Weibull Model: Statistical Properties and Applications |
| title_full | A New Four-Parameter Inverse Weibull Model: Statistical Properties and Applications |
| title_fullStr | A New Four-Parameter Inverse Weibull Model: Statistical Properties and Applications |
| title_full_unstemmed | A New Four-Parameter Inverse Weibull Model: Statistical Properties and Applications |
| title_short | A New Four-Parameter Inverse Weibull Model: Statistical Properties and Applications |
| title_sort | new four parameter inverse weibull model statistical properties and applications |
| url | http://dx.doi.org/10.1155/2022/5936783 |
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