Index: trunk/doc/Statistics.doxygen
===================================================================
--- trunk/doc/Statistics.doxygen (revision 2751)
+++ trunk/doc/Statistics.doxygen (revision 2752)
@@ -123,7 +123,7 @@
\f$
-This estimator fulfills that it is invariant under a rescaling and
+This estimator is invariant under rescaling and
having a weight equal to zero is equivalent to removing the data
-point. Having all weights equal to unity we get \f$ s^2=\frac{\sum
+point. Having all weights equal to unity results in \f$ s^2=\frac{\sum
(x_i-m)^2}{N} \f$, which is the same as returned from Averager. Hence,
this estimator is slightly biased, but still very efficient.