Returns -2 x log-likelihoog ratio and the p-value for the hypothesized variance
Parameters: | sig2_0 : float
return_weights : bool
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Returns: | test_results : tuple
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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)