class_docstr: Maximum Likelihood Estimation pareto distribution
  
  first version: iid case, with constant parameters
class_docstr_tok: ["Maximum","Likelihood","Estimation","pareto","distribution","first","version",":","iid","case",",","with","constant","parameters"]
code: def loglike(self, params):
      return -self.nloglikeobs(params).sum(0)
  
file_path: statsmodels/statsmodels/examples/ex_generic_mle_tdist.py
imports: import numpy
  from scipy import stats, special, optimize
  import statsmodels.api
  from statsmodels.base.model import GenericLikelihoodModel
  from statsmodels.tools.numdiff import approx_hess
  import statsmodels.sandbox.distributions.sppatch
label_desc: Use image node_id 2 for calling the MyPareto obj's underlying member method code with example usage: obj.loglike(params) and returns: unknown