Multiifo Ranking Statistic Development

Name of problem/issue	Status	Testing/Verification
Total noise rate for each type of coinc	Done	predicted rate vs timeslide rate
Relate total number of single triggers to thresholded fit	Not yet, set up plotting script	see distribution and fitting of below-threshold triggers
convert predicted noise rate into statistic	Done, exp_fit_sg_coinc_rate statistic in stat.py. See #2689	coincident trigger scatter plot, and comparison histograms (LIGO login required).
Proper combination of different types of coinc via statistic value (not FAR/trials factor)	Done, pycbc_multiifo_add_statmap see #2811 & #2384	compare unclustered event FAR assignments from trials factor vs adding histograms. stat vs effective trials factor, Note that the prediction doesn't exactly line up for a known, very fiddly reason
Approximation of network sensitivity from sigma^2	Not yet, include in coinc_rate module	plot sensitivity vs time /mass/etc. compare to standard plots
Add in network sensitivity into statistic	Not yet, into stat.py	Newstat vs previousstat as function of time/coinc type
Signal extent over time difference, include in signal rate part of statistic	In coinc_rate module	compare to noise trigger extent allowed time differences for noise and signal triggers