static BinaryResults.resid_pearson()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.BinaryResults.resid_pearson

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NegativeBinomialResults.cov_params()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.NegativeBinomialResults.cov_params

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static CountResults.aic()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.CountResults.aic

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Probit.from_formula()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.Probit.from_formula

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NegativeBinomialResults.save()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.NegativeBinomialResults.save

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static BinaryResults.llnull()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.BinaryResults.llnull

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LogitResults.get_margeff()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.LogitResults.get_margeff

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DiscreteModel.from_formula()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.DiscreteModel.from_formula

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BinaryModel.hessian()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.BinaryModel.hessian

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LogitResults.f_test()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.LogitResults.f_test

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