Prediction of future failures in the log-logistic distribution based on hybrid censored data
<p>We consider the prediction of future observations from the log-logistic distribution. The data is assumed hybrid right censored with possible left censoring. Different point predictors were derived. Specifically, we obtained the best unbiased, the conditional median, and the maximum likelih...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | |
| منشور في: |
2022
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إضافة وسم
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| _version_ | 1864513567165775872 |
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| author | Wassim R. Abou Ghaida (14152050) |
| author2 | Ayman Baklizi (14158944) |
| author2_role | author |
| author_facet | Wassim R. Abou Ghaida (14152050) Ayman Baklizi (14158944) |
| author_role | author |
| dc.creator.none.fl_str_mv | Wassim R. Abou Ghaida (14152050) Ayman Baklizi (14158944) |
| dc.date.none.fl_str_mv | 2022-11-22T21:15:21Z |
| dc.identifier.none.fl_str_mv | 10.1007/s13198-021-01510-3 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Prediction_of_future_failures_in_the_log-logistic_distribution_based_on_hybrid_censored_data/21597741 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Strategy, management and organisational behaviour Engineering practice and education Strategy and Management Safety, Risk, Reliability and Quality |
| dc.title.none.fl_str_mv | Prediction of future failures in the log-logistic distribution based on hybrid censored data |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>We consider the prediction of future observations from the log-logistic distribution. The data is assumed hybrid right censored with possible left censoring. Different point predictors were derived. Specifically, we obtained the best unbiased, the conditional median, and the maximum likelihood predictors. Prediction intervals were derived using suitable pivotal quantities and intervals based on the highest density. We conducted a simulation study to compare the point and interval predictors. It is found that the point predictor BUP and the prediction interval HDI have the best overall performance. An illustrative example based on real data is given. </p><h2>Other Information</h2> <p> Published in: International Journal of System Assurance Engineering and Management<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s13198-021-01510-3" target="_blank">http://dx.doi.org/10.1007/s13198-021-01510-3</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_74a2e73ce71def436b114d022eee7c70 |
| identifier_str_mv | 10.1007/s13198-021-01510-3 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/21597741 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Prediction of future failures in the log-logistic distribution based on hybrid censored dataWassim R. Abou Ghaida (14152050)Ayman Baklizi (14158944)Strategy, management and organisational behaviourEngineering practice and educationStrategy and ManagementSafety, Risk, Reliability and Quality<p>We consider the prediction of future observations from the log-logistic distribution. The data is assumed hybrid right censored with possible left censoring. Different point predictors were derived. Specifically, we obtained the best unbiased, the conditional median, and the maximum likelihood predictors. Prediction intervals were derived using suitable pivotal quantities and intervals based on the highest density. We conducted a simulation study to compare the point and interval predictors. It is found that the point predictor BUP and the prediction interval HDI have the best overall performance. An illustrative example based on real data is given. </p><h2>Other Information</h2> <p> Published in: International Journal of System Assurance Engineering and Management<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s13198-021-01510-3" target="_blank">http://dx.doi.org/10.1007/s13198-021-01510-3</a></p>2022-11-22T21:15:21ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1007/s13198-021-01510-3https://figshare.com/articles/journal_contribution/Prediction_of_future_failures_in_the_log-logistic_distribution_based_on_hybrid_censored_data/21597741CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/215977412022-11-22T21:15:21Z |
| spellingShingle | Prediction of future failures in the log-logistic distribution based on hybrid censored data Wassim R. Abou Ghaida (14152050) Strategy, management and organisational behaviour Engineering practice and education Strategy and Management Safety, Risk, Reliability and Quality |
| status_str | publishedVersion |
| title | Prediction of future failures in the log-logistic distribution based on hybrid censored data |
| title_full | Prediction of future failures in the log-logistic distribution based on hybrid censored data |
| title_fullStr | Prediction of future failures in the log-logistic distribution based on hybrid censored data |
| title_full_unstemmed | Prediction of future failures in the log-logistic distribution based on hybrid censored data |
| title_short | Prediction of future failures in the log-logistic distribution based on hybrid censored data |
| title_sort | Prediction of future failures in the log-logistic distribution based on hybrid censored data |
| topic | Strategy, management and organisational behaviour Engineering practice and education Strategy and Management Safety, Risk, Reliability and Quality |