def setupClass(cls):
from scikits.statsmodels.datasets.sunspots import load
data = load()
cls.rho, cls.sigma = yule_walker(data.endog, order=4,
method="mle")
cls.R_params = [1.2831003105694765, -0.45240924374091945,
-0.20770298557575195, 0.047943648089542337]
def setupClass(cls):
from scikits.statsmodels.datasets.sunspots import load
data = load()
cls.rho, cls.sigma = yule_walker(data.endog, order=4,
method="mle")
cls.R_params = [1.2831003105694765, -0.45240924374091945,
-0.20770298557575195, 0.047943648089542337]
def setupClass(cls):
from scikits.statsmodels.datasets.ccard import load
data = load()
cls.res1 = WLS(data.endog, data.exog, weights = 1/data.exog[:,2]).fit()
cls.res2 = GLS(data.endog, data.exog, sigma = data.exog[:,2]).fit()
def setupClass(cls):
from scikits.statsmodels.datasets.ccard import load
data = load()
cls.res1 = WLS(data.endog, data.exog,
weights=1 / data.exog[:, 2]).fit()
cls.res2 = GLS(data.endog, data.exog, sigma=data.exog[:, 2]).fit()