<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: proc univariate - limiting the distributions in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/proc-univariate-limiting-the-distributions/m-p/160889#M41884</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Not sure what you mean exactly, but you can use a where clause to restrict your input data. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 10 Feb 2015 13:59:18 GMT</pubDate>
    <dc:creator>Reeza</dc:creator>
    <dc:date>2015-02-10T13:59:18Z</dc:date>
    <item>
      <title>proc univariate - limiting the distributions</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/proc-univariate-limiting-the-distributions/m-p/160888#M41883</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi All,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I am facing a difficulty in limiting the distributions obtained by PROC UNIVARIATE i.e. I want to have an option to set lower and upper limits within which the losses for each percentile (for each distribution) fall.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Can anyone please suggest something on the same.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 10 Feb 2015 13:57:00 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/proc-univariate-limiting-the-distributions/m-p/160888#M41883</guid>
      <dc:creator>anupam3684</dc:creator>
      <dc:date>2015-02-10T13:57:00Z</dc:date>
    </item>
    <item>
      <title>Re: proc univariate - limiting the distributions</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/proc-univariate-limiting-the-distributions/m-p/160889#M41884</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Not sure what you mean exactly, but you can use a where clause to restrict your input data. &lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 10 Feb 2015 13:59:18 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/proc-univariate-limiting-the-distributions/m-p/160889#M41884</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2015-02-10T13:59:18Z</dc:date>
    </item>
    <item>
      <title>Re: proc univariate - limiting the distributions</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/proc-univariate-limiting-the-distributions/m-p/160890#M41885</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thanks Reeza for your reply , but my problem is not related to limit the data. I will give you example . Now suppose &lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #1f497d; font-size: 10pt; line-height: 1.5em;"&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #1f497d; font-size: 10pt; line-height: 1.5em;"&gt; In case of the sample data I am using, the lowest claim is $968, but in case of fitted Normal Distribution (using PROC UNIVARIATE), the 1&lt;/SPAN&gt;&lt;SUP style="color: #1f497d; line-height: 1.5em;"&gt;st&lt;/SUP&gt;&lt;SPAN style="color: #1f497d; font-size: 10pt; line-height: 1.5em;"&gt;, 5&lt;/SPAN&gt;&lt;SUP style="color: #1f497d; line-height: 1.5em;"&gt;th&lt;/SUP&gt;&lt;SPAN style="color: #1f497d; font-size: 10pt; line-height: 1.5em;"&gt; and 10&lt;/SPAN&gt;&lt;SUP style="color: #1f497d; line-height: 1.5em;"&gt;th&lt;/SUP&gt;&lt;SPAN style="color: #1f497d; font-size: 10pt; line-height: 1.5em;"&gt; percentile are coming out to be negative. Let say, had we limited the lower tail of distribution to $100, all these percentiles would been more than $100. There should be option for similar upper limit too.&amp;nbsp; Please do let me know if this helps.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #1f497d; font-size: 10pt; line-height: 1.5em;"&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #1f497d; font-size: 10pt; line-height: 1.5em;"&gt;Thanks&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #1f497d; font-size: 10pt; line-height: 1.5em;"&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="color: #1f497d; font-size: 10pt; line-height: 1.5em;"&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 10 Feb 2015 15:09:23 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/proc-univariate-limiting-the-distributions/m-p/160890#M41885</guid>
      <dc:creator>anupam3684</dc:creator>
      <dc:date>2015-02-10T15:09:23Z</dc:date>
    </item>
    <item>
      <title>Re: proc univariate - limiting the distributions</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/proc-univariate-limiting-the-distributions/m-p/160891#M41886</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;If a value in the 10th percentile is not "valid" then your data very likely isn't normally distributed. Monetary values often have a skewed distribution.&lt;/P&gt;&lt;P&gt;You might need to investigate to get a better idea which distribution does fit.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 10 Feb 2015 16:33:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/proc-univariate-limiting-the-distributions/m-p/160891#M41886</guid>
      <dc:creator>ballardw</dc:creator>
      <dc:date>2015-02-10T16:33:44Z</dc:date>
    </item>
    <item>
      <title>Re: proc univariate - limiting the distributions</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/proc-univariate-limiting-the-distributions/m-p/160892#M41887</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I think that PROC UNIVARIATE is letting you know that a normal distribution does not fit your data. Are you asking for options to fit bounded distributions?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;If you know that your data are always positive, you can choose to fit a bounded distribution to your data. PROC UNIVARIATE supports the&amp;nbsp; lognormal and gamma distributions, and some others.&amp;nbsp; Since you mention "claims data," you might want to look into PROC GENMOD which enables you to fit various nonnegative distributions, including count data and the Tweedie distribution.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 10 Feb 2015 16:38:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/proc-univariate-limiting-the-distributions/m-p/160892#M41887</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2015-02-10T16:38:59Z</dc:date>
    </item>
    <item>
      <title>Re: proc univariate - limiting the distributions</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/proc-univariate-limiting-the-distributions/m-p/160893#M41888</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Also, distribution free percentiles are available in PROC UNIVARIATE.&amp;nbsp; Try:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;proc univariate data=yourdsn CIQUANTDF(type=asymmetric);&lt;/P&gt;&lt;P&gt;var value;&lt;/P&gt;&lt;P&gt;run;&lt;/P&gt;&lt;P&gt;Steve Denham&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 10 Feb 2015 17:55:37 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/proc-univariate-limiting-the-distributions/m-p/160893#M41888</guid>
      <dc:creator>SteveDenham</dc:creator>
      <dc:date>2015-02-10T17:55:37Z</dc:date>
    </item>
    <item>
      <title>Re: proc univariate - limiting the distributions</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/proc-univariate-limiting-the-distributions/m-p/160894#M41889</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thank you all for your responses. This is very helpful. Let me propose all the solutions to my team and see what happens. I will keep uou all posted.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks Again.&lt;/P&gt;&lt;P&gt;Anupam&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 11 Feb 2015 07:33:43 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/proc-univariate-limiting-the-distributions/m-p/160894#M41889</guid>
      <dc:creator>anupam3684</dc:creator>
      <dc:date>2015-02-11T07:33:43Z</dc:date>
    </item>
  </channel>
</rss>

