{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T18:50:38Z","timestamp":1773514238573,"version":"3.50.1"},"reference-count":99,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2023,9,19]],"date-time":"2023-09-19T00:00:00Z","timestamp":1695081600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Yayasan Universiti Teknologi PETRONAS (YUTP)","award":["015LC0-401"],"award-info":[{"award-number":["015LC0-401"]}]},{"name":"INTI International University, Malaysia","award":["015LC0-401"],"award-info":[{"award-number":["015LC0-401"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>In this article, we pioneer a new Burr X distribution using the odd beta prime generalized (OBP-G) family of distributions called the OBP-Burr X (OBPBX) distribution. The density function of this model is symmetric, left-skewed, right-skewed, and reversed-J, while the hazard function is monotonically increasing, decreasing, bathtub, and N-shaped, making it suitable for modeling skewed data and failure rates. Various statistical properties of the new model are obtained, such as moments, moment-generating function, entropies, quantile function, and limit behavior. The maximum-likelihood-estimation procedure is utilized to determine the parameters of the model. A Monte Carlo simulation study is implemented to ascertain the efficiency of maximum-likelihood estimators. The findings demonstrate the empirical application and flexibility of the OBPBX distribution, as showcased through its analysis of petroleum rock samples and COVID-19 mortality data, along with its superior performance compared to well-known extended versions of the Burr X distribution. We anticipate that the new distribution will attract a wider readership and provide a vital tool for modeling various phenomena in different domains.<\/jats:p>","DOI":"10.3390\/data8090143","type":"journal-article","created":{"date-parts":[[2023,9,19]],"date-time":"2023-09-19T23:11:52Z","timestamp":1695165112000},"page":"143","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["A New Odd Beta Prime-Burr X Distribution with Applications to Petroleum Rock Sample Data and COVID-19 Mortality Rate"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8669-0572","authenticated-orcid":false,"given":"Ahmad Abubakar","family":"Suleiman","sequence":"first","affiliation":[{"name":"Fundamental and Applied Sciences Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia"},{"name":"Department of Statistics, Aliko Dangote University of Science and Technology, Wudil 713281, Nigeria"}]},{"given":"Hanita","family":"Daud","sequence":"additional","affiliation":[{"name":"Fundamental and Applied Sciences Department, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia"}]},{"given":"Narinderjit Singh Sawaran","family":"Singh","sequence":"additional","affiliation":[{"name":"Faculty of Data Science and Information Technology, INTI International University, Nilai 71800, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5772-6126","authenticated-orcid":false,"given":"Aliyu Ismail","family":"Ishaq","sequence":"additional","affiliation":[{"name":"Department of Statistics, Ahmadu Bello University, Zaria 810107, Nigeria"}]},{"given":"Mahmod","family":"Othman","sequence":"additional","affiliation":[{"name":"Department of Information System, Universitas Islam Indragiri, Riau 29212, Indonesia"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1007\/s44199-023-00056-6","article-title":"Marshall Olkin Exponentiated Dagum Distribution: Properties and Applications","volume":"22","author":"Sherwani","year":"2023","journal-title":"J. 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