statsmodels.stats.diagnostic.HetGoldfeldQuandt.run HetGoldfeldQuandt.run(y, x, idx=None, split=None, drop=None, alternative='increasing', attach=True) see class docstring

statsmodels.robust.norms.Hampel.rho Hampel.rho(z) [source] The robust criterion function for Hampel?s estimator Parameters: z : array-like 1d array Returns: rho : array rho(z) = (1/2.)*z**2 for |z| <= a rho(z) = a*|z| - 1/2.*a**2 for a < |z| <= b rho(z) = a*(c*|z|-(1/2.)*z**2)/(c-b) for b < |z| <= c rho(z) = a*(b + c - a) for |z| > c

statsmodels.robust.norms.Hampel.psi_deriv Hampel.psi_deriv(z) [source]

statsmodels.robust.norms.Hampel.psi Hampel.psi(z) [source] The psi function for Hampel?s estimator The analytic derivative of rho Parameters: z : array-like 1d array Returns: psi : array psi(z) = z for |z| <= a psi(z) = a*sign(z) for a < |z| <= b psi(z) = a*sign(z)*(c - |z|)/(c-b) for b < |z| <= c psi(z) = 0 for |z| > c

statsmodels.sandbox.stats.multicomp.GroupsStats.runbasic GroupsStats.runbasic(useranks=False) [source]

statsmodels.sandbox.stats.multicomp.GroupsStats.groupvarwithin GroupsStats.groupvarwithin() [source]

statsmodels.sandbox.stats.multicomp.GroupsStats.runbasic_old GroupsStats.runbasic_old(useranks=False) [source]

statsmodels.graphics.tsaplots.quarter_plot statsmodels.graphics.tsaplots.quarter_plot(x, dates=None, ylabel=None, ax=None) [source] Seasonal plot of quarterly data Parameters: x : array-like Seasonal data to plot. If dates is None, x must be a pandas object with a PeriodIndex or DatetimeIndex with a monthly frequency. dates : array-like, optional If x is not a pandas object, then dates must be supplied. ylabel : str, optional The label for the y-axis. Will attempt to use the name attri

statsmodels.sandbox.stats.multicomp.GroupsStats.groupsswithin GroupsStats.groupsswithin() [source]

statsmodels.sandbox.stats.multicomp.GroupsStats.groupdemean GroupsStats.groupdemean() [source]