[gnumeric] distcheck: remove link to unknown.



commit 9959aa156b6ba816c100a9108ee63b559ac90f54
Author: Morten Welinder <terra gnome org>
Date:   Fri Nov 27 20:30:18 2009 -0500

    distcheck: remove link to unknown.

 doc/C/analysis-simulation.xml |    2 +-
 1 files changed, 1 insertions(+), 1 deletions(-)
---
diff --git a/doc/C/analysis-simulation.xml b/doc/C/analysis-simulation.xml
index 333c4af..729f456 100644
--- a/doc/C/analysis-simulation.xml
+++ b/doc/C/analysis-simulation.xml
@@ -12,7 +12,7 @@
     <para>Gnumeric includes a facility for performing Monte Carlo Simulation.  Monte Carlo simulation involves the sampling of random numbers to solve a problem where the passage of time plays no substantive role.
     <footnote>
       <para>Definition from Law and Kelton (1991), Simulation Modeling &amp; Analysis, 2nd ed, pp. 113.</para>
-    </footnote>  In other words, each sample is not effected by prior samples.  This is in contrast to discrete event simulation or continuous simulation where the results from earlier in the simulation can effect successive samples within a simulation experiment.  The Monte Carlo simulation will be enabled through the use of the Random Number functions as described in <xref linkend="CATEGORY_Random_Numbers"/> and the results presented along with statistics for use in analysis.    
+    </footnote>  In other words, each sample is not effected by prior samples.  This is in contrast to discrete event simulation or continuous simulation where the results from earlier in the simulation can effect successive samples within a simulation experiment.  The Monte Carlo simulation will be enabled through the use of the Random Number functions as described in ??? <!--<xref linkend="CATEGORY_Random_Numbers"/> --> and the results presented along with statistics for use in analysis.    
     <footnote>
       <para>Gnumeric random numbers are generated using the Mersenne twister MT19937 pseudo-random number generator as implemented in the GNU Scientific Library.</para>
     </footnote>



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