DescStatUV.test_var()
statsmodels.emplike.descriptive.DescStatUV.test_var
-
DescStatUV.test_var(sig2_0, return_weights=False)
[source] -
Returns -2 x log-likelihoog ratio and the p-value for the hypothesized variance
Parameters: sig2_0 : float
Hypothesized variance to be tested
return_weights : bool
If True, returns the weights that maximize the likelihood of observing sig2_0. Default is False
Returns: test_results : tuple
The log-likelihood ratio and the p_value of sig2_0
Examples
>>> import numpy as np >>> import statsmodels.api as sm >>> random_numbers = np.random.standard_normal(1000)*100 >>> el_analysis = sm.emplike.DescStat(random_numbers) >>> hyp_test = el_analysis.test_var(9500)
© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.emplike.descriptive.DescStatUV.test_var.html