
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
  <dc:publisher>Faculty of Sciences and Mathematics, University of Niš, Serbia</dc:publisher>
  <dc:date>2021</dc:date>
  <dc:format>application/pdf</dc:format>
  <dc:format>314112 bytes</dc:format>
  <dc:source>Filomat  35(6)</dc:source>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:creator id="https://orcid.org/0000-0002-6076-7073">Видовић, Зоран</dc:creator>
  <dc:identifier>https://phaidrabg.bg.ac.rs/o:26391</dc:identifier>
  <dc:identifier>doi:10.2298/FIL2106927J</dc:identifier>
  <dc:identifier>ISSN: 0354-5180</dc:identifier>
  <dc:description xml:lang="eng">Abstract: In this paper we estimate R = P{X &lt; Y} when X and Y are independent random variables
following the Peng-Yan extended Weibull distribution. We find maximum likelihood estimator of R and its
asymptotic distribution. This asymptotic distribution is used to construct asymptotic confidence intervals.
In the case of equal shape parameters, we derive the exact confidence intervals, too. A procedure for
deriving bootstrap-p confidence intervals is presented. The UMVUE of R and the UMVUE of its variance
are derived and also the Bayes point and interval estimator of R for conjugate priors are obtained. Finally,
we perform a simulation study in order to compare these estimators and provide a real data example.</dc:description>
  <dc:language>eng</dc:language>
  <dc:title xml:lang="eng">Inference on reliability of stress-strength model with peng-yan extended weibull distributions</dc:title>
  <dc:rights>All rights reserved</dc:rights>
</oai_dc:dc>
