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        <item>
            <title>Re: computing covariance from joint CDF and marginal CDF</title>
        
            <link>http://mathforum.org/kb/thread.jspa?messageID=8295214&amp;tstart=0#8295214</link>

        

            <description><![CDATA[<font color="#660066">&gt; cov(X,Y)=double integral(F_X,Y<br>&gt; (x,y)-F_X(x)*F_Y(y))dxdy</font><br><br>Hi, <br><br>could you give a hint how to]]></description>

        

            <jf:creationDate>Feb 10, 2013 8:42:09 AM</jf:creationDate>
            <jf:modificationDate>Feb 10, 2013 8:42:09 AM</jf:modificationDate>
            <jf:author>kolibris</jf:author>
            <jf:replyCount>0</jf:replyCount>
        </item>

        <item>
            <title>Re: computing covariance from joint CDF and marginal CDF</title>
        
            <link>http://mathforum.org/kb/thread.jspa?messageID=7930190&amp;tstart=0#7930190</link>

        

            <description><![CDATA[On Sunday, October 1, 2006 3:00:07 AM UTC-7, regis lebrun wrote:<br><font color="#660066">&gt; Hi,<br>&gt; <br>&gt; i know there exists a formula]]></description>

        

            <jf:creationDate>Nov 29, 2012 10:50:14 PM</jf:creationDate>
            <jf:modificationDate>Nov 29, 2012 10:50:14 PM</jf:modificationDate>
            <jf:author>zhangwenchang89@gmail.com</jf:author>
            <jf:replyCount>1</jf:replyCount>
        </item>

        <item>
            <title>computing covariance from joint CDF and marginal CDF</title>
        
            <link>http://mathforum.org/kb/thread.jspa?messageID=5197623&amp;tstart=0#5197623</link>

        

            <description><![CDATA[Hi,<br><br>i know there exists a formula expressing the covariance<br>E[(X-E(X))(Y-E(Y))] between X and Y, involving a double integral of<br>F_X(x),]]></description>

        

            <jf:creationDate>Oct 1, 2006 6:00:07 AM</jf:creationDate>
            <jf:modificationDate>Oct 1, 2006 6:00:07 AM</jf:modificationDate>
            <jf:author>regis.lebrun@eads.net</jf:author>
            <jf:replyCount>2</jf:replyCount>
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