wstat#
- gammapy.stats.wstat(n_on, n_off, alpha, mu_sig, mu_bkg=None, extra_terms=True)[source]#
W statistic, for Poisson data with Poisson background.
For a definition of WStat see WStat : Poisson data with background measurement. If
mu_bkgis not provided it will be calculated according to the profile likelihood formula.- Parameters
- n_onarray_like
Total observed counts
- n_offarray_like
Total observed background counts
- alphaarray_like
Exposure ratio between on and off region
- mu_sigarray_like
Signal expected counts
- mu_bkgarray_like, optional
Background expected counts
- extra_termsbool, optional
Add model independent terms to convert stat into goodness-of-fit parameter, default: True
- Returns
- statndarray
Statistic per bin
References