class_docstr: Maximum Likelihood Estimation pareto distribution
  
  first version: iid case, with constant parameters
code: def loglike(self, params):
      return -self.nloglikeobs(params).sum(0)
  
imports: import numpy
  from scipy import stats
  from statsmodels.base.model import GenericLikelihoodModel
  from numpy.testing import assert_array_less, assert_almost_equal, assert_allclose
label_desc: Use image node_id 3 for calling the MyPareto obj's underlying member method code with example usage: obj.loglike(params) and returns: unknown