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  <Article>
    <Journal>
      <PublisherName>jmedicalcasereports</PublisherName>
      <JournalTitle>Frontiers in Medical Case Reports</JournalTitle>
      <PISSN>I</PISSN>
      <EISSN>S</EISSN>
      <Volume-Issue>Volume 1; Issue 1, (Jan-Jun,2020)</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Multidisciplinary</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>Cancer Case Reports</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>-0001</Year>
        <Month>11</Month>
        <Day>30</Day>
      </PubDate>
      <ArticleType>Cancer Case Reports</ArticleType>
      <ArticleTitle>The Burr XI Generated Family of Distribution with Illustration to Cancer Patients Data</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>1</FirstPage>
      <LastPage>4</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Clement Boateng</FirstName>
          <LastName>Ampadu</LastName>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
        </Author>
      </AuthorList>
      <DOI/>
      <Abstract>The Burr system of distributions appeared in (Burr, 1942). On the other hand in (Eugene et al., 2002), they pioneered the beta-generated method of creating probability distributions. Inspired by these developments, we introduce the Burr XI generated method of creating probability distributions. We show a distribution arising from this method is a good fit to real-life data, indicating the new method of creating probability distributions should be applicable in various disciplines. Finally, we ask the reader to investigate some properties and applications of a so-called Burr VI generated family of distributions of two types.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>Burr System of Distributions,Breast Cancer,T-X(W) Family of Distributions,Beta-G</Keywords>
      <URLs>
        <Abstract>https://www.jmedicalcasereports.org/ubijournal-v1copy/journals/abstract.php?article_id=15129&amp;title=The Burr XI Generated Family of Distribution with Illustration to Cancer Patients Data</Abstract>
      </URLs>
      <References>
        <ReferencesarticleTitle>References</ReferencesarticleTitle>
        <ReferencesfirstPage>16</ReferencesfirstPage>
        <ReferenceslastPage>19</ReferenceslastPage>
        <References>Burr IW. Cumulative frequency functions. Annals of Mathematical Statistics 1942; 13: 215-232&#13;
&#13;
Eugene N, Lee C, Famoye F. Beta-normal distribution and its applica- tions. Communications in Statistics: theory and Methods 2002; 31: 497-512.&#13;
&#13;
Momanyi ReinPeter Ondeyo. Generating Probability Distributions Based on Burr Differential Equation, Master Project in Mathematics, University of Nairobi, Kenya 2017.&#13;
&#13;
Girish Babu Moolath and Jayakumar K. T-Transmuted X Family of Distributions, STA-TISTICA, anno LXXVII. 2017; 3.&#13;
&#13;
Alzaatreh A, Lee C, Famoye F. A new method for generating families of continuous distributions. Metron 2013b; 71: 63-79.</References>
      </References>
    </Journal>
  </Article>
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