deletions | additions       diff --git a/Burst_Variance_Analysis.tex b/Burst_Variance_Analysis.tex  index e9f621b..aee398a 100644  --- a/Burst_Variance_Analysis.tex  +++ b/Burst_Variance_Analysis.tex 
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\operatorname{Std(\textit{E})} = {\sqrt{\frac{E(1 - E)}{n}}}  \end{equation}  \subsetcion{BVA implementation}  BVA analysis consists of four steps: 1) slicing bursts into sub-bursts containing a constant number of consecutive photons,~\textit{n}, 2) computing FRET efficiencies of each sub-burst, 3) calculating the empirical standard deviation ($s_E$) of sub-burst FRET efficiencies over the whole burst, and 4) comparing $s_E$ to the expected standard deviation of a shot-noise limited distribution~(eq.~\ref{binom_std}). distribution~(eq.~\ref{eq:binom_std}).  If, as in figure~\ref{fig:bva_static}, the observed distribution originates a static mixture   of FRET efficiencies (without dynamics),