InverseGaussian.resid_dev()
  • References/Python/Statsmodels/Generalized Estimating Equations

statsmodels.genmod.families.family.InverseGaussian.resid_dev

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

statsmodels.discrete.discrete_model.CountResults.summary

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iolib.summary2.Summary
  • References/Python/Statsmodels/Input-Output

statsmodels.iolib.summary2.Summary class statsmodels.iolib.summary2.Summary

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stats.power.NormalIndPower()
  • References/Python/Statsmodels/Statistics

statsmodels.stats.power.NormalIndPower class statsmodels.stats.power.

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static GLMResults.pearson_chi2()
  • References/Python/Statsmodels/Generalized Linear Models

statsmodels.genmod.generalized_linear_model.GLMResults.pearson_chi2

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

statsmodels.discrete.discrete_model.CountResults.tvalues

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stats.weightstats.ttost_paired()
  • References/Python/Statsmodels/Statistics

statsmodels.stats.weightstats.ttost_paired statsmodels.stats

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ProbitResults.pred_table()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.ProbitResults.pred_table

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static ProbitResults.llf()
  • References/Python/Statsmodels/Regression with Discrete Dependent Variable

statsmodels.discrete.discrete_model.ProbitResults.llf

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GLMResults.predict()
  • References/Python/Statsmodels/Generalized Linear Models

statsmodels.genmod.generalized_linear_model.GLMResults.predict

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