<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel rdf:about="http://biblioteca.universia.net/searchKeyWord.do?q=Forecasting,%20SCM,%20demand%20amplification,%20risk%20management,%20intelligent%20decision%20systems,%20auto-id,%20GARCH">
    <title>Resultados de la búsqueda: Forecasting, SCM, demand amplification, risk management, intelligent decision systems, auto-id, GARCH</title>
    <link>http://biblioteca.universia.net/searchKeyWord.do?q=Forecasting,%20SCM,%20demand%20amplification,%20risk%20management,%20intelligent%20decision%20systems,%20auto-id,%20GARCH</link>
    <description>Resultados 1 - 2 de 2 de Forecasting, SCM, demand amplification, risk management, intelligent decision systems, auto-id, GARCH. (0,23 segundos)</description>
    <items>
      <rdf:Seq>
        <rdf:li />
        <rdf:li />
      </rdf:Seq>
    </items>
    <dc:language>es</dc:language>
  </channel>
  <image>
    <title>Universia-Recursos de Aprendizaje</title>
    <url>http://biblioteca.universia.net/img/logotipo.jpg</url>
    <link>http://biblioteca.universia.net/</link>
  </image>
  <item rdf:about="http://biblioteca.universia.net/ficha.do?id=38388808">
    <title>GARCH Proof of Concept</title>
    <link>http://biblioteca.universia.net/ficha.do?id=38388808</link>
    <description>Making sense of data may benefit from high volume data acquisition and analysis using GARCH and VAR-MGARCH (Datta et al 2007) techniques in addition to and in combination with other tools for forecasting and risk analysis. In this work, we explored the possibility of using advanced forecasting methods in a context of supply chains. It remains unexplored if concomitant business process transformation may be necessary to obtain better results. The proposed advanced forecasting models, by its ve...</description>
    <dc:creator>Datta, Shoumen</dc:creator>
  </item>
  <item rdf:about="http://biblioteca.universia.net/ficha.do?id=38412558">
    <title>GARCH PROOF OF CONCEPT _ UPDATED 18 DEC 2008</title>
    <link>http://biblioteca.universia.net/ficha.do?id=38412558</link>
    <description>Making sense of data may benefit from high volume data acquisition and analysis using GARCH and VAR-MGARCH (Datta et al 2007) techniques in addition to and in combination with other tools for forecasting and risk analysis in diverse verticals that may span from healthcare to energy (Datta 2008e). In this work, we explored the possibility of using advanced forecasting methods in context of supply chains and demonstrated financial profitability from use of the GARCH technique. It remains unexpl...</description>
    <dc:creator>Datta, Shoumen</dc:creator>
  </item>
</rdf:RDF>


