def METHOD_NAME(self):
    # This will be tested in a round about way since MATLAB fails when
    # computing CI with multiple nuisance parameters.  The process is:
    #
    # (1) Get CI for skewness from ci.skew()
    # (2) In MATLAB test the hypotheis that skew=results of test_skew.
    # (3) If p-value approx .05, test confirmed
    skew_ci = self.res1.ci_skew()
    lower_lim = skew_ci[0]
    upper_lim = skew_ci[1]
    ul_pval = self.res1.test_skew(lower_lim)[1]
    ll_pval = self.res1.test_skew(upper_lim)[1]
    assert_almost_equal(ul_pval, .050000, 4)
    assert_almost_equal(ll_pval, .050000, 4)