class_docstr: Univariate Arma Model with t-distributed errors
  
  This inherit all methods except loglike from tsa.arma_mle.Arma
  
  This uses the standard t-distribution, the implied variance of
  the error is not equal to scale, but ::
  
      error_variance = df/(df-2)*scale**2
  
  Notes
  -----
  This might be replaced by a standardized t-distribution with scale**2
  equal to variance
code: def loglike(self, params):
      return -self.nloglikeobs(params).sum(0)
  
file_path: statsmodels/statsmodels/miscmodels/tmodel.py
imports: import numpy
  from scipy import special, stats
  from statsmodels.base.model import GenericLikelihoodModel
  from statsmodels.tsa.arma_mle import Arma
label_desc: Use image node_id 1 for calling the TArma obj's underlying member method code with example usage: obj.loglike(params) and returns: unknown