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    <title>topic Re: Problems to determine the best model in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Problems-to-determine-the-best-model/m-p/206449#M11090</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The magnitude of AIC is not meaningful, just the difference in AIC between different models. 0 has no particular meaning. You want the smallest AIC. -75.8 is much smaller than 8.8&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 20 Jul 2015 14:53:02 GMT</pubDate>
    <dc:creator>lvm</dc:creator>
    <dc:date>2015-07-20T14:53:02Z</dc:date>
    <item>
      <title>Problems to determine the best model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Problems-to-determine-the-best-model/m-p/206448#M11089</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hello everybody,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt; I'm using mixed with repeated measurement, and I want to choose the best model, when I compared the different possibilities of the stamen type (ante(1), ar(1), un, cs...) I have some AIC values negatives and positives.&lt;/P&gt;&lt;P&gt;So my question is smaller is better, but smaller means near to 0 or more negative.&lt;/P&gt;&lt;P&gt;One example I have for ante(1) an AIC of -75.8 and for ar(1) 8.8 so which one is the preferred model??&lt;/P&gt;&lt;P&gt;Thank you for the help!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 20 Jul 2015 14:17:29 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Problems-to-determine-the-best-model/m-p/206448#M11089</guid>
      <dc:creator>aral</dc:creator>
      <dc:date>2015-07-20T14:17:29Z</dc:date>
    </item>
    <item>
      <title>Re: Problems to determine the best model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Problems-to-determine-the-best-model/m-p/206449#M11090</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The magnitude of AIC is not meaningful, just the difference in AIC between different models. 0 has no particular meaning. You want the smallest AIC. -75.8 is much smaller than 8.8&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 20 Jul 2015 14:53:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Problems-to-determine-the-best-model/m-p/206449#M11090</guid>
      <dc:creator>lvm</dc:creator>
      <dc:date>2015-07-20T14:53:02Z</dc:date>
    </item>
    <item>
      <title>Re: Problems to determine the best model</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Problems-to-determine-the-best-model/m-p/206450#M11091</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;&lt;SPAN style="font-size: 9.5pt; font-family: 'Arial','sans-serif';"&gt;It is very important to explore different variance-covariance structures when using proc mixed because the output contains fit statistics indicating which clearly indicate how well each model fits the data compared to other models.&lt;/SPAN&gt; You need select the model that has the smallest AIC value.&amp;nbsp; &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 22 Jul 2015 04:07:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Problems-to-determine-the-best-model/m-p/206450#M11091</guid>
      <dc:creator>HarryLiu</dc:creator>
      <dc:date>2015-07-22T04:07:48Z</dc:date>
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