deletions | additions       diff --git a/Burst_Weights_Theory.tex b/Burst_Weights_Theory.tex  index 068b5cd..534dba8 100644  --- a/Burst_Weights_Theory.tex  +++ b/Burst_Weights_Theory.tex 
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the unweighted mean of $E_i$) will have a larger variance.  We can extend these consideration of optimal weights for   the PR estimator to the FRET distribution plot. plot (histograms or KDEs).  Building an unweighted histogram (and fitting the peak) is analogous to estimating the   $E_p$ with an unweighted average. Conversely, building the FRET histogram  using the burst size as weights is equivalent to using