<doi_batch xmlns="http://www.crossref.org/schema/4.4.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" version="4.4.0"><head><doi_batch_id>200dd50b-cae3-45b3-9ac6-0961d6a11d32</doi_batch_id><timestamp>20230329080039386</timestamp><depositor><depositor_name>wseas:wseas</depositor_name><email_address>mdt@crossref.org</email_address></depositor><registrant>MDT Deposit</registrant></head><body><journal><journal_metadata language="en"><full_title>WSEAS TRANSACTIONS ON MATHEMATICS</full_title><issn media_type="electronic">2224-2880</issn><issn media_type="print">1109-2769</issn><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/23206</doi><resource>http://wseas.org/wseas/cms.action?id=4051</resource></doi_data></journal_metadata><journal_issue><publication_date media_type="online"><month>9</month><day>19</day><year>2022</year></publication_date><publication_date media_type="print"><month>9</month><day>19</day><year>2022</year></publication_date><journal_volume><volume>22</volume><doi_data><doi>10.37394/23206.2023.22</doi><resource>https://wseas.com/journals/mathematics/2023.php</resource></doi_data></journal_volume></journal_issue><journal_article language="en"><titles><title>A New Two-Parameter Lifetime Model with Statistical Properties and Applications</title></titles><contributors><person_name sequence="first" contributor_role="author"><given_name>Najwan</given_name><surname>Alsadat</surname><affiliation>Department of Quantitative Analysis, College of Business Administration, King Saud University, P.O. Box 2455, Riyadh, 11451, SAUDI ARABIA</affiliation></person_name></contributors><jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1"><jats:p>A new lifetime distribution called the truncated Cauchy power length-biased exponential (TCP-LBEX) distribution that extends the length-biased (LBEX) model is investigated. The statistical properties of the TCP-LBEX model including the quantile function, incomplete moment, moment, and entropy are derived. The method of maximum likelihood estimation was used to estimate the parameters of the TCP-LBEX. Monto Carlo simulations are used to assess the behavior of parameters. Finally, we demonstrate applications of two real-world data sets to show the flexibility and potentiality of the proposed model.</jats:p></jats:abstract><publication_date media_type="online"><month>3</month><day>29</day><year>2023</year></publication_date><publication_date media_type="print"><month>3</month><day>29</day><year>2023</year></publication_date><pages><first_page>213</first_page><last_page>223</last_page></pages><publisher_item><item_number item_number_type="article_number">26</item_number></publisher_item><ai:program xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" name="AccessIndicators"><ai:free_to_read start_date="2023-03-29"/><ai:license_ref applies_to="am" start_date="2023-03-29">https://wseas.com/journals/mathematics/2023/a525106-1769.pdf</ai:license_ref></ai:program><archive_locations><archive name="Portico"/></archive_locations><doi_data><doi>10.37394/23206.2023.22.26</doi><resource>https://wseas.com/journals/mathematics/2023/a525106-1769.pdf</resource></doi_data><citation_list><citation key="ref0"><doi>10.1007/s40300-013-0007-y</doi><unstructured_citation>Alzaatreh, A., Lee, C., and Famoye, F., A new method for generating families of continuous distributions. 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