Inference of partially observed causes for failure of Lomax competing risks model under type-II generalized hybrid censoring scheme
Time-to- failure under different causes of failure is known as a competing risks model. Practice, competing risks data can be appeared in different applications such as engineering fields or biological and medical lifetime studies as well as other related areas. Also, the causes of failure, which ar...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-07-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016821007274 |
| _version_ | 1811238555339456512 |
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| author | Tahani.A. Abushal A.A. Soliman G.A. Abd-Elmougod |
| author_facet | Tahani.A. Abushal A.A. Soliman G.A. Abd-Elmougod |
| author_sort | Tahani.A. Abushal |
| collection | DOAJ |
| description | Time-to- failure under different causes of failure is known as a competing risks model. Practice, competing risks data can be appeared in different applications such as engineering fields or biological and medical lifetime studies as well as other related areas. Also, the causes of failure, which are competing may be partially observed. In this paper, we adopted the competing risks model with partially observed causes of failure when the latent failure times follow Lomax life distribution under type-II generalized hybrid censoring scheme. The maximum likelihood estimators of the model parameters with the associated confidence intervals are discussed. Moreover, Bayes estimators under importance sampling procedure with probability credible intervals are developed. The results are discussed using both real and simulated data sets for illustration purposes. Finally, the Monte Carlo simulation experiments are performed to assess and compare the different proposed methods with some brief comments. |
| first_indexed | 2024-04-12T12:44:03Z |
| format | Article |
| id | doaj.art-3bdb9ba4ced048119998947b2b619109 |
| institution | Directory Open Access Journal |
| issn | 1110-0168 |
| language | English |
| last_indexed | 2024-04-12T12:44:03Z |
| publishDate | 2022-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj.art-3bdb9ba4ced048119998947b2b6191092022-12-22T03:32:41ZengElsevierAlexandria Engineering Journal1110-01682022-07-0161754275439Inference of partially observed causes for failure of Lomax competing risks model under type-II generalized hybrid censoring schemeTahani.A. Abushal0A.A. Soliman1G.A. Abd-Elmougod2Department of Mathematical Science, Faculty of Applied Science, Umm AL-Qura University, Saudi Arabia; Corresponding author.Department of Mathematics, Sohag University, Sohag, EgyptDepartment of Mathematics, Faculty of Science, Damanhour University, Damanhour, EgyptTime-to- failure under different causes of failure is known as a competing risks model. Practice, competing risks data can be appeared in different applications such as engineering fields or biological and medical lifetime studies as well as other related areas. Also, the causes of failure, which are competing may be partially observed. In this paper, we adopted the competing risks model with partially observed causes of failure when the latent failure times follow Lomax life distribution under type-II generalized hybrid censoring scheme. The maximum likelihood estimators of the model parameters with the associated confidence intervals are discussed. Moreover, Bayes estimators under importance sampling procedure with probability credible intervals are developed. The results are discussed using both real and simulated data sets for illustration purposes. Finally, the Monte Carlo simulation experiments are performed to assess and compare the different proposed methods with some brief comments.http://www.sciencedirect.com/science/article/pii/S1110016821007274Partially observed causes of failureLomax distributionType-II generalized hybrid censoringMaximum likelihood estimationBayes estimation |
| spellingShingle | Tahani.A. Abushal A.A. Soliman G.A. Abd-Elmougod Inference of partially observed causes for failure of Lomax competing risks model under type-II generalized hybrid censoring scheme Alexandria Engineering Journal Partially observed causes of failure Lomax distribution Type-II generalized hybrid censoring Maximum likelihood estimation Bayes estimation |
| title | Inference of partially observed causes for failure of Lomax competing risks model under type-II generalized hybrid censoring scheme |
| title_full | Inference of partially observed causes for failure of Lomax competing risks model under type-II generalized hybrid censoring scheme |
| title_fullStr | Inference of partially observed causes for failure of Lomax competing risks model under type-II generalized hybrid censoring scheme |
| title_full_unstemmed | Inference of partially observed causes for failure of Lomax competing risks model under type-II generalized hybrid censoring scheme |
| title_short | Inference of partially observed causes for failure of Lomax competing risks model under type-II generalized hybrid censoring scheme |
| title_sort | inference of partially observed causes for failure of lomax competing risks model under type ii generalized hybrid censoring scheme |
| topic | Partially observed causes of failure Lomax distribution Type-II generalized hybrid censoring Maximum likelihood estimation Bayes estimation |
| url | http://www.sciencedirect.com/science/article/pii/S1110016821007274 |
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