On testing exponentiality under Type-I censoring
<div><p>Two new goodness-of-fit testing procedures are introduced to test exponentiality when data are subject to Type-I censoring. We proposed four test statistics for this purpose. Under extensive Monte Carlo simulations, we showed that the proposed tests maintain the nominal significa...
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2023
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| _version_ | 1864513526498852864 |
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| author | Reza Pakyari (18021664) |
| author2 | Omama M. Al-Hamed (18021667) |
| author2_role | author |
| author_facet | Reza Pakyari (18021664) Omama M. Al-Hamed (18021667) |
| author_role | author |
| dc.creator.none.fl_str_mv | Reza Pakyari (18021664) Omama M. Al-Hamed (18021667) |
| dc.date.none.fl_str_mv | 2023-02-14T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3389/fams.2023.1113477 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/On_testing_exponentiality_under_Type-I_censoring/25284967 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Mathematical sciences Applied mathematics Statistics beta distribution binomial distribution exponential distribution goodness-of-fit testing maximum likelihood estimator order statistics quantiles Type-I censoring |
| dc.title.none.fl_str_mv | On testing exponentiality under Type-I censoring |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <div><p>Two new goodness-of-fit testing procedures are introduced to test exponentiality when data are subject to Type-I censoring. We proposed four test statistics for this purpose. Under extensive Monte Carlo simulations, we showed that the proposed tests maintain the nominal significance level and show good power for both monotonic and non-monotonic hazard function alternatives even for small samples as n = 10. A real dataset is studied for illustrative purposes.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Frontiers in Applied Mathematics and Statistics<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="https://dx.doi.org/10.3389/fams.2023.1113477" target="_blank">https://dx.doi.org/10.3389/fams.2023.1113477</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_2e08e76302bdf9095cfc12c0d3bd8e54 |
| identifier_str_mv | 10.3389/fams.2023.1113477 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25284967 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | On testing exponentiality under Type-I censoringReza Pakyari (18021664)Omama M. Al-Hamed (18021667)Mathematical sciencesApplied mathematicsStatisticsbeta distributionbinomial distributionexponential distributiongoodness-of-fit testingmaximum likelihood estimatororder statisticsquantilesType-I censoring<div><p>Two new goodness-of-fit testing procedures are introduced to test exponentiality when data are subject to Type-I censoring. We proposed four test statistics for this purpose. Under extensive Monte Carlo simulations, we showed that the proposed tests maintain the nominal significance level and show good power for both monotonic and non-monotonic hazard function alternatives even for small samples as n = 10. A real dataset is studied for illustrative purposes.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Frontiers in Applied Mathematics and Statistics<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="https://dx.doi.org/10.3389/fams.2023.1113477" target="_blank">https://dx.doi.org/10.3389/fams.2023.1113477</a></p>2023-02-14T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3389/fams.2023.1113477https://figshare.com/articles/journal_contribution/On_testing_exponentiality_under_Type-I_censoring/25284967CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/252849672023-02-14T03:00:00Z |
| spellingShingle | On testing exponentiality under Type-I censoring Reza Pakyari (18021664) Mathematical sciences Applied mathematics Statistics beta distribution binomial distribution exponential distribution goodness-of-fit testing maximum likelihood estimator order statistics quantiles Type-I censoring |
| status_str | publishedVersion |
| title | On testing exponentiality under Type-I censoring |
| title_full | On testing exponentiality under Type-I censoring |
| title_fullStr | On testing exponentiality under Type-I censoring |
| title_full_unstemmed | On testing exponentiality under Type-I censoring |
| title_short | On testing exponentiality under Type-I censoring |
| title_sort | On testing exponentiality under Type-I censoring |
| topic | Mathematical sciences Applied mathematics Statistics beta distribution binomial distribution exponential distribution goodness-of-fit testing maximum likelihood estimator order statistics quantiles Type-I censoring |