deletions | additions       diff --git a/Time Delay Estimation Metrics.tex b/Time Delay Estimation Metrics.tex  index 2350318..40a6db9 100644  --- a/Time Delay Estimation Metrics.tex  +++ b/Time Delay Estimation Metrics.tex 
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Returning to the emulated analysis, we imagine evaluating the product of PDFs in Equation~\ref{eq:prodpdf}, and plotting the resulting likelihood for $H_0$. This distribution will have some median $\hat{H_0}$ and 68\% confidence interval $\sigma_{H_0}$. From these values we define the precision (as already seen above) as   \begin{equation}  P = \frac{\sigma_{H_0}}/H_0^* \frac{\sigma_{H_0}}{H_0^*}  \times 100\% \end{equation}  and the bias~$B$ as  \begin{equation}