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  <channel>
    <title>Gielens, G.</title>
    <link>http://repub.eur.nl/res/aut/14701/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>Fat tail distributions and local thin tail alternatives (Article)</title>
      <link>http://repub.eur.nl/res/pub/12407/</link>
      <pubDate>1996-01-01T00:00:00Z</pubDate>
      <description>The behaviour of the Hill estimator for the tail index of fat tailed distributions in the presence of local alternatives which have a thin tail is investigated. The converse problem is also briefly addressed. A local thin tail alternative can severely bias the Hill statistic. The relevance of this issue for the class of stable distributions is discussed. We conduct a small simulation study to support the analysis. In the conclusion it is argued that for moderate out of sample quantile analysis the problem of local alternatives may be less pressing.</description>
    </item>
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