code: def test_estimated_initialization_short_data(
      oildata, trend, seasonal, nobs
  ):
      # GH 7319
      res = ETSModel(
          oildata[:nobs],
          trend=trend,
          seasonal=seasonal,
          seasonal_periods=4,
          initialization_method="estimated",
      ).fit()
      assert ~np.any(np.isnan(res.params))
  
imports: from statsmodels.compat.pandas import QUARTER_END
  from statsmodels.compat.platform import PLATFORM_LINUX32, PLATFORM_WIN
  from itertools import product
  import json
  import pathlib
  import numpy
  from numpy.testing import assert_allclose, assert_almost_equal
  import pandas
  import pytest
  import scipy.stats
  from statsmodels.tsa.exponential_smoothing.ets import ETSModel
  import statsmodels.tsa.holtwinters
  import statsmodels.tsa.statespace.exponential_smoothing
label_desc: Use image node_id 41 for calling a global function with example usage: test_estimated_initialization_short_data(oildata, trend, seasonal, nobs) without return types