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    <title>topic Re: Tweedie in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Tweedie/m-p/454518#M23726</link>
    <description>&lt;P&gt;1. You can assess goodness of fit by using the AIC, AICC, and BIC criteria. The regression procedures use information criteria because it is generally applicable to regression models, whereas the K_S test is a univariate&amp;nbsp;test. You can also look at the scaled Pearson chi-square, which is close to 1 in models that fit well.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;2. Please post your log. I suspect that some of the optimizations are not converging.&lt;/P&gt;</description>
    <pubDate>Mon, 16 Apr 2018 17:44:51 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2018-04-16T17:44:51Z</dc:date>
    <item>
      <title>Tweedie</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Tweedie/m-p/454250#M23725</link>
      <description>&lt;P&gt;Hello, I want to ask some questions regarding Tweedie Distribution in SAS:&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;1. Can I assess&amp;nbsp;goodness of fit (using Kolmogorov-Smirnov or Anderson Darling) for Tweedie?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;2. I&amp;nbsp;use&amp;nbsp;TECHNIQUE=CONGRA,&amp;nbsp;&lt;SPAN&gt;NMSIMP, and QUANEW for Tweedie (PROC HPGENSELECT is used), but the dispersion parameter has significant difference (CONGRA &amp;gt; 44, NMSIMP &amp;gt; 1500, QUANEW &amp;gt; 16000) while the power parameter is around 1.6 for all technique used, is there anyone who knows why it is like this?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;BR /&gt;Thank you in advance!&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Sun, 15 Apr 2018 06:41:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Tweedie/m-p/454250#M23725</guid>
      <dc:creator>nikolasfilbert</dc:creator>
      <dc:date>2018-04-15T06:41:00Z</dc:date>
    </item>
    <item>
      <title>Re: Tweedie</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Tweedie/m-p/454518#M23726</link>
      <description>&lt;P&gt;1. You can assess goodness of fit by using the AIC, AICC, and BIC criteria. The regression procedures use information criteria because it is generally applicable to regression models, whereas the K_S test is a univariate&amp;nbsp;test. You can also look at the scaled Pearson chi-square, which is close to 1 in models that fit well.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;2. Please post your log. I suspect that some of the optimizations are not converging.&lt;/P&gt;</description>
      <pubDate>Mon, 16 Apr 2018 17:44:51 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Tweedie/m-p/454518#M23726</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2018-04-16T17:44:51Z</dc:date>
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