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

statsmodels.discrete.discrete_model.NegativeBinomialResults.initialize

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NegativeBinomial.initialize()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.NegativeBinomial.initialize

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Poisson.score()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.Poisson.score Poisson

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CountModel.cdf()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.CountModel.cdf

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stats.sandwich_covariance.cov_hc2()
  • References/Python/Statsmodels/Statistics

statsmodels.stats.sandwich_covariance.cov_hc2 statsmodels

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static RegressionResults.mse_model()
  • References/Python/Statsmodels/Linear Regression

statsmodels.regression.linear_model.RegressionResults.mse_model

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static RLMResults.pvalues()
  • References/Python/Statsmodels/Robust Linear Models

statsmodels.robust.robust_linear_model.RLMResults.pvalues

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PoissonGMLE.fit()
  • References/Python/Statsmodels/Other Models

statsmodels.miscmodels.count.PoissonGMLE.fit PoissonGMLE

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GLS.fit_regularized()
  • References/Python/Statsmodels/Linear Regression

statsmodels.regression.linear_model.GLS.fit_regularized

2025-01-10 15:47:30
Transf_gen.fit()
  • References/Python/Statsmodels/Distributions

statsmodels.sandbox.distributions.transformed.Transf_gen.fit

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