Statistical Features and Estimation Methods for Half-Logistic Unit-Gompertz Type-I Model
In this study, we propose a new three-parameter lifetime model based on the type-I half-logistic G family and the unit-Gompertz model, which we named the half-logistic unit Gompertz type-I distribution. The key feature of such a novel model is that it adds a new tuning parameter to the unit-Gompertz...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/4/1007 |
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| author | Anum Shafiq Tabassum Naz Sindhu Sanku Dey Showkat Ahmad Lone Tahani A. Abushal |
| author_facet | Anum Shafiq Tabassum Naz Sindhu Sanku Dey Showkat Ahmad Lone Tahani A. Abushal |
| author_sort | Anum Shafiq |
| collection | DOAJ |
| description | In this study, we propose a new three-parameter lifetime model based on the type-I half-logistic G family and the unit-Gompertz model, which we named the half-logistic unit Gompertz type-I distribution. The key feature of such a novel model is that it adds a new tuning parameter to the unit-Gompertz model using the type-I half-logistic family in order to make the unit-Gompertz model more flexible. Diagrams and numerical results are used to look at the new model’s mathematical and statistical aspects. The efficiency of estimating the distribution parameters is measured using a variety of well-known classical methodologies, including Anderson–Darling, maximum likelihood, least squares, weighted least squares, right tail Anderson–Darling, and Cramer–von Mises estimation. Finally, using the maximum likelihood estimation method, the flexibility and ability of the proposed model are illustrated by means of re-analyzing two real datasets, and comparisons are provided with the fit accomplished by the unit-Gompertz, Kumaraswamy, unit-Weibull, and Kumaraswamy beta distributions for illustrative purposes. |
| first_indexed | 2024-03-11T08:28:06Z |
| format | Article |
| id | doaj.art-276dc8f75871432eb6193d23bb07098f |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-11T08:28:06Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-276dc8f75871432eb6193d23bb07098f2023-11-16T21:57:05ZengMDPI AGMathematics2227-73902023-02-01114100710.3390/math11041007Statistical Features and Estimation Methods for Half-Logistic Unit-Gompertz Type-I ModelAnum Shafiq0Tabassum Naz Sindhu1Sanku Dey2Showkat Ahmad Lone3Tahani A. Abushal4School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaDepartment of Statistics, Quaid-i-Azam University, Islamabad 45320, PakistanDepartment of Statistics, St. Anthony’s College, Shillong 793001, IndiaDepartment of Basic Sciences, College of Science and Theoretical Studies, Saudi Electronic University, Riyadh 11673, Saudi ArabiaDepartment of Mathematical Science, Faculty of Applied Science, Umm Al-Qura University, Mecca 24382, Saudi ArabiaIn this study, we propose a new three-parameter lifetime model based on the type-I half-logistic G family and the unit-Gompertz model, which we named the half-logistic unit Gompertz type-I distribution. The key feature of such a novel model is that it adds a new tuning parameter to the unit-Gompertz model using the type-I half-logistic family in order to make the unit-Gompertz model more flexible. Diagrams and numerical results are used to look at the new model’s mathematical and statistical aspects. The efficiency of estimating the distribution parameters is measured using a variety of well-known classical methodologies, including Anderson–Darling, maximum likelihood, least squares, weighted least squares, right tail Anderson–Darling, and Cramer–von Mises estimation. Finally, using the maximum likelihood estimation method, the flexibility and ability of the proposed model are illustrated by means of re-analyzing two real datasets, and comparisons are provided with the fit accomplished by the unit-Gompertz, Kumaraswamy, unit-Weibull, and Kumaraswamy beta distributions for illustrative purposes.https://www.mdpi.com/2227-7390/11/4/1007half-logistic distributionmaximum likelihood estimationunit-Gompertz modelleast square estimationright tail Anderson–Darling estimation |
| spellingShingle | Anum Shafiq Tabassum Naz Sindhu Sanku Dey Showkat Ahmad Lone Tahani A. Abushal Statistical Features and Estimation Methods for Half-Logistic Unit-Gompertz Type-I Model Mathematics half-logistic distribution maximum likelihood estimation unit-Gompertz model least square estimation right tail Anderson–Darling estimation |
| title | Statistical Features and Estimation Methods for Half-Logistic Unit-Gompertz Type-I Model |
| title_full | Statistical Features and Estimation Methods for Half-Logistic Unit-Gompertz Type-I Model |
| title_fullStr | Statistical Features and Estimation Methods for Half-Logistic Unit-Gompertz Type-I Model |
| title_full_unstemmed | Statistical Features and Estimation Methods for Half-Logistic Unit-Gompertz Type-I Model |
| title_short | Statistical Features and Estimation Methods for Half-Logistic Unit-Gompertz Type-I Model |
| title_sort | statistical features and estimation methods for half logistic unit gompertz type i model |
| topic | half-logistic distribution maximum likelihood estimation unit-Gompertz model least square estimation right tail Anderson–Darling estimation |
| url | https://www.mdpi.com/2227-7390/11/4/1007 |
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