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 Jun 24, 2012, 11:11:17 AM (9 years ago)
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trunk/doc/Statistics.doxygen
r2695 r2751 125 125 This estimator fulfills that it is invariant under a rescaling and 126 126 having a weight equal to zero is equivalent to removing the data 127 point. Having all weights equal to unity we get \f$ \sigma=\frac{\sum127 point. Having all weights equal to unity we get \f$ s^2=\frac{\sum 128 128 (x_im)^2}{N} \f$, which is the same as returned from Averager. Hence, 129 129 this estimator is slightly biased, but still very efficient.
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