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_bkg is not provided it will be calculated according to the profile likelihood formula.

Parameters:

n_onndarray or array_like: Total observed counts.
n_offndarray or array_like: Total observed background counts.
alphandarray or array_like: Exposure ratio between on and off region.
mu_signdarray or array_like: Signal expected counts.
mu_bkgndarray or array_like, optional: Background expected counts.
extra_termsbool, optional: Add model independent terms to convert stat into goodness-of-fit parameter. Default is True.

Returns:

References