robust.scale.mad()
  • References/Python/Statsmodels/Robust Linear Models

statsmodels.robust.scale.mad statsmodels.robust.scale.mad(a, c=0.67448975019608171, axis=0

2025-01-10 15:47:30
robust.norms.Hampel()
  • References/Python/Statsmodels/Robust Linear Models

statsmodels.robust.norms.Hampel class statsmodels.robust.norms.Hampel(a=2.0, b=4.0,

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

statsmodels.robust.robust_linear_model.RLMResults.weights

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

statsmodels.robust.robust_linear_model.RLMResults.summary

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RobustNorm.psi()
  • References/Python/Statsmodels/Robust Linear Models

statsmodels.robust.norms.RobustNorm.psi RobustNorm.psi(z)

2025-01-10 15:47:30
RLM.score()
  • References/Python/Statsmodels/Robust Linear Models

statsmodels.robust.robust_linear_model.RLM.score RLM

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robust.robust_linear_model.RLM()
  • References/Python/Statsmodels/Robust Linear Models

statsmodels.robust.robust_linear_model.RLM class statsmodels.robust

2025-01-10 15:47:30
RLMResults.conf_int()
  • References/Python/Statsmodels/Robust Linear Models

statsmodels.robust.robust_linear_model.RLMResults.conf_int

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robust.scale.stand_mad()
  • References/Python/Statsmodels/Robust Linear Models

statsmodels.robust.scale.stand_mad statsmodels.robust.scale.stand_mad(a, c=0

2025-01-10 15:47:30
RobustNorm.rho()
  • References/Python/Statsmodels/Robust Linear Models

statsmodels.robust.norms.RobustNorm.rho RobustNorm.rho(z)

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