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<item>
  <id>06036311</id>
  <dt>j</dt>
  <an>06036311</an>
  <augroup>
    <au>Ery{\i}lmaz, Serkan</au>
  </augroup>
  <ti>Generalized $\delta$-shock model via runs.</ti>
  <so>Stat. Probab. Lett. 82, No. 2, 326-331 (2012).</so>
  <py>2012</py>
  <pu>Elsevier Science B.V. (North-Holland), Amsterdam</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>geometric distribution of order $k$</ut>
    <ut>Poisson process</ut>
    <ut>runs</ut>
    <ut>shock model</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1016/j.spl.2011.10.022</li>
  </ligroup>
  <abgroup>
    <ab>Summary: According to the $\delta $-shock model, the system fails when the time between two consecutive shocks falls below a fixed threshold $\delta $. This model has a potential application in various fields such as inventory, insurance and system reliability. In this paper, we study run-related generalization of this model such that the system fails when $k$ consecutive interarrival times are less than a threshold $\delta $. The survival function and the mean value of the failure time of the system are explicitly derived for exponentially distributed interarrival times. We also propose a new combined shock model which considers both the magnitudes of successive shocks and the interarrival times.</ab>
    <rv></rv>
  </abgroup>
</item>