fix warnings in fit_statistics
@@ -92,17 +92,9 @@ function by the `~gammapy.cube.MapDatasetOnOff` and the `~gammapy.spectrum.Spect
Caveat
^^^^^^
-- Since WStat takes into account background estimation uncertainties and makes no
- assumption such as a background model, it usually gives larger statistical
- uncertainties on the fitted parameters. If a background model exists, to properly
- compare with parameters estimated using the Cash statistics, one should include
- some systematic uncertainty on the background model.
-
-- Note also that at very low counts, WStat is known to result in biased estimates.
- This can be an issue when studying the high energy behaviour of faint sources. When
- performing spectral fits with WStat, it is recommended to randomize observations
- and check whether the resulting fitted parameters distributions are consistent
- with the input values.
+- Since WStat takes into account background estimation uncertainties and makes no assumption such as a background model, it usually gives larger statistical uncertainties on the fitted parameters. If a background model exists, to properly compare with parameters estimated using the Cash statistics, one should include some systematic uncertainty on the background model.
+
+- Note also that at very low counts, WStat is known to result in biased estimates. This can be an issue when studying the high energy behaviour of faint sources. When performing spectral fits with WStat, it is recommended to randomize observations and check whether the resulting fitted parameters distributions are consistent with the input values.
Example
^^^^^^^
