Estimation of Weighted Extropy with Focus on Its Use in Reliability Modeling
In the literature, estimation of weighted extropy is infrequently considered. In this paper, some non-parametric estimators of weighted extropy are given. The validation and comparison of the estimators are implemented with the help of simulation study and data illustration. The usefulness of the es...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-02-01
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| Series: | Entropy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1099-4300/26/2/160 |
| _version_ | 1797298266765787136 |
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| author | Muhammed Rasheed Irshad Krishnakumar Archana Radhakumari Maya Maria Longobardi |
| author_facet | Muhammed Rasheed Irshad Krishnakumar Archana Radhakumari Maya Maria Longobardi |
| author_sort | Muhammed Rasheed Irshad |
| collection | DOAJ |
| description | In the literature, estimation of weighted extropy is infrequently considered. In this paper, some non-parametric estimators of weighted extropy are given. The validation and comparison of the estimators are implemented with the help of simulation study and data illustration. The usefulness of the estimators is demonstrated using real data sets. |
| first_indexed | 2024-03-07T22:33:25Z |
| format | Article |
| id | doaj.art-3f814c0d5e5240538a739db688d9bbca |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-07T22:33:25Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-3f814c0d5e5240538a739db688d9bbca2024-02-23T15:15:45ZengMDPI AGEntropy1099-43002024-02-0126216010.3390/e26020160Estimation of Weighted Extropy with Focus on Its Use in Reliability ModelingMuhammed Rasheed Irshad0Krishnakumar Archana1Radhakumari Maya2Maria Longobardi3Department of Statistics, Cochin University of Science and Technology, Cochin 682 022, Kerala, IndiaDepartment of Statistics, Cochin University of Science and Technology, Cochin 682 022, Kerala, IndiaDepartment of Statistics, Government College for Women, Thiruvananthapuram 695 014, Kerala, IndiaDipartimento di Biologia, Università degli Studi di Napoli Federico II, 80126 Naples, ItalyIn the literature, estimation of weighted extropy is infrequently considered. In this paper, some non-parametric estimators of weighted extropy are given. The validation and comparison of the estimators are implemented with the help of simulation study and data illustration. The usefulness of the estimators is demonstrated using real data sets.https://www.mdpi.com/1099-4300/26/2/160weighted extropylog kernel estimationkernel estimationempirical estimationsimulation |
| spellingShingle | Muhammed Rasheed Irshad Krishnakumar Archana Radhakumari Maya Maria Longobardi Estimation of Weighted Extropy with Focus on Its Use in Reliability Modeling Entropy weighted extropy log kernel estimation kernel estimation empirical estimation simulation |
| title | Estimation of Weighted Extropy with Focus on Its Use in Reliability Modeling |
| title_full | Estimation of Weighted Extropy with Focus on Its Use in Reliability Modeling |
| title_fullStr | Estimation of Weighted Extropy with Focus on Its Use in Reliability Modeling |
| title_full_unstemmed | Estimation of Weighted Extropy with Focus on Its Use in Reliability Modeling |
| title_short | Estimation of Weighted Extropy with Focus on Its Use in Reliability Modeling |
| title_sort | estimation of weighted extropy with focus on its use in reliability modeling |
| topic | weighted extropy log kernel estimation kernel estimation empirical estimation simulation |
| url | https://www.mdpi.com/1099-4300/26/2/160 |
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