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

statsmodels.discrete.discrete_model.NegativeBinomialResults.summary

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MultiComparison.allpairtest()
  • References/Python/Statsmodels/Statistics

statsmodels.sandbox.stats.multicomp.MultiComparison.allpairtest

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

statsmodels.sandbox.distributions.extras.SkewNorm_gen.expect

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SkewNorm2_gen.rvs()
  • References/Python/Statsmodels/Distributions

statsmodels.sandbox.distributions.extras.SkewNorm2_gen.rvs

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Transf_gen.est_loc_scale()
  • References/Python/Statsmodels/Distributions

statsmodels.sandbox.distributions.transformed.Transf_gen.est_loc_scale

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

statsmodels.genmod.generalized_linear_model.GLMResults.null

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

statsmodels.discrete.discrete_model.Probit.jac Probit

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static CompareMeans.std_meandiff_pooledvar()
  • References/Python/Statsmodels/Statistics

statsmodels.stats.weightstats.CompareMeans.std_meandiff_pooledvar

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static OLSResults.nobs()
  • References/Python/Statsmodels/Linear Regression

statsmodels.regression.linear_model.OLSResults.nobs

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sandbox.distributions.extras.mvstdnormcdf()
  • References/Python/Statsmodels/Distributions

statsmodels.sandbox.distributions.extras.mvstdnormcdf

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