deletions | additions       diff --git a/Burst_Weights_Theory.tex b/Burst_Weights_Theory.tex  index 214090d..9f11e7c 100644  --- a/Burst_Weights_Theory.tex  +++ b/Burst_Weights_Theory.tex 
...
\subsection{Theoretical foundation of burst weights}  \label{sec:burstweights_theory}  Burst In homogenuous FRET population, burst  counts in the acceptor channel are usually can be  modeled with as  a binomial distribution  where the random variable with  success probability is equal to  the population  PR andthe  number of trials is equal to the burst size  $n_d + n_a$. Similarly, the PR of each burst $E_i$ ($i$ being the burst index) is simply a binomial divided by the   number of trials, therefore the variance is:  \begin{equation}  \label{eq:E_var}  \operatorname{Var} (E_i) = \frac{E_p\,(1-E_p)}{n_ti}  \end{equation}