<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mota, P.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">New improvements in old approximations to the Normal CDF</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Applied Mathematics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://diogenes.bg/ijam/contents/2019-32-1/8/</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">32</style></volume><pages><style face="normal" font="default" size="100%">83-89</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The list of approximations to the Normal cumulative distribution function is long and, eventually, not fully known due to the large number of published articles in the last decades. In this paper we will present new improvements in some well known approximations, without increasing the complexity of the formulas.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record></records></xml>