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    <title>topic marquardt method in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/marquardt-method/m-p/207591#M11161</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Can anybody provide me the complete proc of marquardt method?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 16 Jun 2015 16:45:10 GMT</pubDate>
    <dc:creator>afgdurrani0</dc:creator>
    <dc:date>2015-06-16T16:45:10Z</dc:date>
    <item>
      <title>marquardt method</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/marquardt-method/m-p/207591#M11161</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Can anybody provide me the complete proc of marquardt method?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 16 Jun 2015 16:45:10 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/marquardt-method/m-p/207591#M11161</guid>
      <dc:creator>afgdurrani0</dc:creator>
      <dc:date>2015-06-16T16:45:10Z</dc:date>
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    <item>
      <title>Re: marquardt method</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/marquardt-method/m-p/207592#M11162</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Without further details, I can guess only that you're looking at nonlinear regression (PROC NLIN) with METHOD=&lt;SPAN style="font-size: 13px; background-color: #ffffff; font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif;"&gt;MARQUARDT for the fitting algorithm.&amp;nbsp; This community can provide much more help if you provide more details on the problem.&amp;nbsp; There is some&lt;A href="http://www.ats.ucla.edu/stat/sas/library/SASNLin_os.htm"&gt; basic guidance here in this doc from UCLA&lt;/A&gt;.&amp;nbsp; And some &lt;A href="http://support.sas.com/rnd/app/ets/papers/nonlinearmodels.pdf"&gt;general overview of related procedures here&lt;/A&gt;.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13px; background-color: #ffffff; font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif;"&gt;&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13px; background-color: #ffffff; font-family: 'Helvetica Neue', Helvetica, Arial, 'Lucida Grande', sans-serif;"&gt;Chris&lt;BR /&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 17 Jun 2015 01:02:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/marquardt-method/m-p/207592#M11162</guid>
      <dc:creator>ChrisHemedinger</dc:creator>
      <dc:date>2015-06-17T01:02:44Z</dc:date>
    </item>
    <item>
      <title>Re: marquardt method</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/marquardt-method/m-p/207593#M11163</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The Marquardt least-squares optiomization method is available by using the NLPLM subroutine in SAS/IML.&amp;nbsp; The &lt;A href="http://support.sas.com/documentation/cdl/en/imlug/66845/HTML/default/viewer.htm#imlug_langref_sect270.htm"&gt;documentation of the NLPLM subroutine&lt;/A&gt; describes the algorithm as "an efficient modification of the trust-region method."&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 17 Jun 2015 19:42:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/marquardt-method/m-p/207593#M11163</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2015-06-17T19:42:35Z</dc:date>
    </item>
    <item>
      <title>Re: marquardt method</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/marquardt-method/m-p/207594#M11164</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Dearest sir,&lt;/P&gt;&lt;P&gt;Thank you for your kind reply.&lt;/P&gt;&lt;P&gt;I am a fisheries specialist and frequently use SAS for my statistics problems. In a research paper, I have studied about the modified form of Marquardt method. I want you to have look at this modified method (below link) and kindly provide me your comments and view over this modified form of Marquardt method ; that is it correct? Thanks alot&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://drive.google.com/file/d/0B6WGzXbl-1cQb2RWMmlPVU4zZzQ/view" title="https://drive.google.com/file/d/0B6WGzXbl-1cQb2RWMmlPVU4zZzQ/view"&gt;Program Summary - general model.pdf - Google Drive&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 01 Jul 2015 08:24:33 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/marquardt-method/m-p/207594#M11164</guid>
      <dc:creator>afgdurrani0</dc:creator>
      <dc:date>2015-07-01T08:24:33Z</dc:date>
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