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   <ow:Publication rdf:about="oai:digibug.ugr.es:10481/98972">
      <dc:title>Data visualization for reliability analysis of repairable systems</dc:title>
      <dc:creator>Gámiz Pérez, María Luz</dc:creator>
      <dc:creator>López Montoya, Antonio Jesús</dc:creator>
      <dc:creator>Martínez Miranda, María Dolores</dc:creator>
      <dc:creator>Raya- Miranda, R.</dc:creator>
      <dc:subject>Bootstrap</dc:subject>
      <dc:subject>Kernel smoothing</dc:subject>
      <dc:subject>NHPP rate</dc:subject>
      <dc:subject>ROCOF</dc:subject>
      <dc:subject>SiZer</dc:subject>
      <dc:description>The objective of this paper is to find out possible patterns of failure occurrences&#xd;
in a repairable system. We develop a graphical exploratory tool and perform&#xd;
visual inference considering non-parametric local linear kernel estimators for&#xd;
the rate of occurrence of failures (ROCOF) and its first derivative. The shape&#xd;
characteristics of the ROCOF function are distinguished from those which are&#xd;
merely an artefact of the sampling variability of the data through the construction&#xd;
of confidence intervals for the first derivative. The proposal is illustrated&#xd;
with several real data sets, and its performance is evaluated through an extensive&#xd;
simulation study.</dc:description>
      <dc:date>2025-01-13T12:03:18Z</dc:date>
      <dc:date>2025-01-13T12:03:18Z</dc:date>
      <dc:date>2019</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Gámiz, M. L., López‐Montoya, A. J., Martínez‐Miranda, M. D., &amp; Raya‐Miranda, R. (2019). Data visualization for reliability analysis of repairable systems. Quality and Reliability Engineering International, 35(1), 99-115.</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10481/98972</dc:identifier>
      <dc:identifier>https://doi.org/10.1002/qre.2383</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</dc:rights>
      <dc:publisher>WILEY</dc:publisher>
   </ow:Publication>
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