sandbox.stats.multicomp.rankdata()
  • References/Python/Statsmodels/Statistics

statsmodels.sandbox.stats.multicomp.rankdata statsmodels

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static IVRegressionResults.ess()
  • References/Python/Statsmodels/Generalized Method of Moments

statsmodels.sandbox.regression.gmm.IVRegressionResults.ess

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tools.numdiff.approx_fprime()
  • References/Python/Statsmodels/Tools

statsmodels.tools.numdiff.approx_fprime statsmodels.tools.numdiff

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ExpTransf_gen.std()
  • References/Python/Statsmodels/Distributions

statsmodels.sandbox.distributions.transformed.ExpTransf_gen.std

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

statsmodels.discrete.discrete_model.NegativeBinomial.fit_regularized

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IVGMM.momcond()
  • References/Python/Statsmodels/Generalized Method of Moments

statsmodels.sandbox.regression.gmm.IVGMM.momcond IVGMM

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OLSResults.predict()
  • References/Python/Statsmodels/Linear Regression

statsmodels.regression.linear_model.OLSResults.predict

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LogTransf_gen.isf()
  • References/Python/Statsmodels/Distributions

statsmodels.sandbox.distributions.transformed.LogTransf_gen.isf

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DescStatUV.ci_skew()
  • References/Python/Statsmodels/Empirical Likelihood

statsmodels.emplike.descriptive.DescStatUV.ci_skew

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

statsmodels.regression.linear_model.OLSResults.mse_resid

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