def test_abc_multialpha(self):
results = boot.ci_abc(self.data,
lambda x, y: np.average(x, weights=y),
alpha=(0.1, 0.2, 0.8, 0.9))
np.testing.assert_array_almost_equal(
results, np.array([0.39472915, 0.51161304, 0.93789723,
1.04407254]))
def test_abc_multialpha_defaultstat(self):
results = boot.ci_abc(self.data,alpha=(0.1,0.2,0.8,0.9))
np.testing.assert_array_almost_equal(results,np.array([ 0.39472915, 0.51161304, 0.93789723, 1.04407254]))
def test_abc_multialpha(self):
results = boot.ci_abc(self.data,lambda x,y: np.average(x,weights=y),alpha=(0.1,0.2,0.8,0.9))
np.testing.assert_array_almost_equal(results,np.array([ 0.39472915, 0.51161304, 0.93789723, 1.04407254]))
def test_abc_simple(self):
results = boot.ci_abc(self.data,lambda x,y: np.average(x,weights=y))
np.testing.assert_array_almost_equal(results,np.array([ 0.20982275, 1.20374686]))
def test_abc_pandas_series(self):
results = boot.ci_abc(self.pds,lambda x,y: np.average(x,weights=y))
np.testing.assert_array_almost_equal(results,np.array([ 0.20982275, 1.20374686]))
def test_abc_multialpha_defaultstat(self):
results = boot.ci_abc(self.data, alpha=(0.1, 0.2, 0.8, 0.9))
np.testing.assert_array_almost_equal(
results, np.array([0.39472915, 0.51161304, 0.93789723,
1.04407254]))
def test_abc_simple(self):
results = boot.ci_abc(self.data, lambda x, y: np.average(x, weights=y))
np.testing.assert_array_almost_equal(
results, np.array([0.20982275, 1.20374686]))
def test_abc_pandas_series(self):
results = boot.ci_abc(self.pds, lambda x, y: np.average(x, weights=y))
np.testing.assert_array_almost_equal(
results, np.array([0.20982275, 1.20374686]))
