<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">NIKOLAY PAVLOV</style></author><author><style face="normal" font="default" size="100%">ANTON ILIEV</style></author><author><style face="normal" font="default" size="100%">ASEN RAHNEV</style></author><author><style face="normal" font="default" size="100%">NIKOLAY KYURKCHIEV</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">SENSITIVE ANALYSIS ON SOME TRANSFORMATIONS TO CONSTRUCT A GENERALIZED 2–COMPONENT WEIBULL DISTRIBUTION</style></title><secondary-title><style face="normal" font="default" size="100%">Neural, Parallel, and Scientific Computations</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">41A46</style></keyword><keyword><style  face="normal" font="default" size="100%">68N30</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2018</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://acadsol.eu/npsc/articles/26/3/4.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">26</style></volume><pages><style face="normal" font="default" size="100%">10</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p class=&quot;rtejustify&quot;&gt;In literature, several transformations exists to obtain a new cumulative distribution function (cdf) using other(s) well-known cdf(s).&lt;/p&gt;

&lt;p class=&quot;rtejustify&quot;&gt;In this paper we study the important ”saturation” characteristic for the generalized&amp;nbsp;2–component Weibull c.d.f. in the Hausdorff sense.&lt;/p&gt;

&lt;p class=&quot;rtejustify&quot;&gt;We will conduct a sensitive analysis of this family of cumulative functions.&lt;/p&gt;

&lt;p class=&quot;rtejustify&quot;&gt;The results have independent significance in the study of issues related to life&amp;nbsp;time analysis, insurance mathematics, biochemical kinetics, population dynamics and&amp;nbsp;debugging theory.&lt;/p&gt;

&lt;p class=&quot;rtejustify&quot;&gt;Numerical examples, illustrating our results are presented using programming environment Mathematica.&lt;/p&gt;
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