Add proposal for missing estimator quantities
@@ -50,14 +50,10 @@ Quantity Definition
e_ref Reference energy
e_min Minimum energy
e_max Maximum energy
-norm Norm with respect to the reference spectral model
-norm_err Symmetric rrror on the norm derived from the Hessian matrix
-ts Difference in fit statistics (`stat_sum - null_value` )
-sqrt_ts Square root of TS, corresponds to significance (Wilk's theorem)
-================= =================================================
-npred Predicted counts
-npred_signal Predicted counts from the signal
-npred_background Predicted counts from the background
+norm Best fit norm with respect to the reference spectral model
+norm_err Symmetric error on the norm derived from the Hessian matrix
+ts Difference in fit statistics (`stat - stat_null` )
+sqrt_ts Square root of ts, in case of one degree of freedom, corresponds to significance (Wilk's theorem)
================= =================================================
@@ -69,13 +65,17 @@ Quantity Definition
norm_errp Positive error of the norm
norm_errn Negative error of the norm
norm_ul Upper limit of the norm
+stat Fit statistics value of the best fit hypothesis
+stat_null Fit statistics value of the null hypothesis
+================= =================================================
+npred Predicted counts of the best fit hypothesis
+npred_null Predicted counts of the null hypothesis
+npred_signal Predicted counts of the signal over `npred_null`, equivalent to (`npred - npred_null`)
+================= =================================================
norm_scan Norm scan
stat_scan Fit statistics scan
-stat Fit statistics value of the best fit model
-null_value Fit statistics value of the null hypothesis
================= =================================================
-
To compute the assymetric errors as well as upper limits one can
specify the arguments ``n_sigma`` and ``n_sigma_ul``. The ``n_sigma``
arguments are translated into a TS value assuming ``ts = sigma ** 2``.
