<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Computation of Actuarial Measures Using Bell G Family</dc:title>
  <dc:title>R package ActuarialM version 0.1.0</dc:title>
  <dc:subject>CRAN Task View: ActuarialScience (https://CRAN.R-project.org/view=ActuarialScience)</dc:subject>
  <dc:description>It computes two frequently applied actuarial measures, the expected shortfall and the value at risk. Seven well-known classical distributions in connection to the Bell generalized family are used as follows: Bell-exponential distribution, Bell-extended exponential distribution, Bell-Weibull distribution, Bell-extended Weibull distribution, Bell-Lomax distribution, Bell-Burr-12 distribution, and Bell-Burr-X distribution. Related works include:
     a) Fayomi, A., Tahir, M. H., Algarni, A., Imran, M., &amp; Jamal, F. (2022). "A new useful exponential model with applications to quality control and 
        actuarial data". Computational Intelligence and Neuroscience, 2022. &lt;doi:10.1155/2022/2489998&gt;.
     b) Alsadat, N., Imran, M., Tahir, M. H., Jamal, F., Ahmad, H., &amp; Elgarhy, M. (2023). "Compounded Bell-G class of statistical models with applications to COVID-19 and actuarial data". Open Physics, 21(1), 20220242. &lt;doi:10.1515/phys-2022-0242&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.0)</dc:relation>
  <dc:relation>Imports: stats</dc:relation>
  <dc:creator>Muhammad Imran &lt;imranshakoor84@yahoo.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Muhammad Imran [aut, cre],
  M.H. Tahir [aut],
  Saima Shakoor [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2023-05-15</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ActuarialM</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ActuarialM</dc:identifier>
</oai_dc:dc>
