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  • Installing
  • Getting started
  • User Guide
  • Examples
  • API Reference
  • About statsmodels
  • Developer Page
  • Release Notes
  • GitHub
  • PyPI
  • DOI

Section Navigation

  • endog, exog, what’s that?
  • Import Paths and Structure
  • Fitting models using R-style formulas
  • Pitfalls
  • Linear Regression
  • Generalized Linear Models
  • Generalized Estimating Equations
  • Generalized Additive Models (GAM)
  • Robust Linear Models
  • Linear Mixed Effects Models
  • Regression with Discrete Dependent Variable
    • statsmodels.discrete.discrete_model.Logit
    • statsmodels.discrete.discrete_model.Probit
    • statsmodels.discrete.discrete_model.MNLogit
    • statsmodels.discrete.discrete_model.Poisson
    • statsmodels.discrete.discrete_model.NegativeBinomial
      • statsmodels.discrete.discrete_model.NegativeBinomial.cdf
      • statsmodels.discrete.discrete_model.NegativeBinomial.cov_params_func_l1
      • statsmodels.discrete.discrete_model.NegativeBinomial.fit
      • statsmodels.discrete.discrete_model.NegativeBinomial.fit_regularized
      • statsmodels.discrete.discrete_model.NegativeBinomial.from_formula
      • statsmodels.discrete.discrete_model.NegativeBinomial.get_distribution
      • statsmodels.discrete.discrete_model.NegativeBinomial.hessian
      • statsmodels.discrete.discrete_model.NegativeBinomial.information
      • statsmodels.discrete.discrete_model.NegativeBinomial.initialize
      • statsmodels.discrete.discrete_model.NegativeBinomial.loglike
      • statsmodels.discrete.discrete_model.NegativeBinomial.pdf
      • statsmodels.discrete.discrete_model.NegativeBinomial.predict
      • statsmodels.discrete.discrete_model.NegativeBinomial.score
      • statsmodels.discrete.discrete_model.NegativeBinomial.score_obs
      • statsmodels.discrete.discrete_model.NegativeBinomial.endog_names
      • statsmodels.discrete.discrete_model.NegativeBinomial.exog_names
    • statsmodels.discrete.discrete_model.NegativeBinomialP
    • statsmodels.discrete.discrete_model.GeneralizedPoisson
    • statsmodels.discrete.count_model.ZeroInflatedPoisson
    • statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP
    • statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson
    • statsmodels.discrete.truncated_model.HurdleCountModel
    • statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP
    • statsmodels.discrete.truncated_model.TruncatedLFPoisson
    • statsmodels.discrete.conditional_models.ConditionalLogit
    • statsmodels.discrete.conditional_models.ConditionalMNLogit
    • statsmodels.discrete.conditional_models.ConditionalPoisson
    • statsmodels.miscmodels.ordinal_model.OrderedModel
    • statsmodels.discrete.discrete_model.LogitResults
    • statsmodels.discrete.discrete_model.ProbitResults
    • statsmodels.discrete.discrete_model.CountResults
    • statsmodels.discrete.discrete_model.MultinomialResults
    • statsmodels.discrete.discrete_model.NegativeBinomialResults
    • statsmodels.discrete.discrete_model.GeneralizedPoissonResults
    • statsmodels.discrete.count_model.ZeroInflatedPoissonResults
    • statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults
    • statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults
    • statsmodels.discrete.truncated_model.HurdleCountResults
    • statsmodels.discrete.truncated_model.TruncatedLFPoissonResults
    • statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults
    • statsmodels.discrete.conditional_models.ConditionalResults
    • statsmodels.miscmodels.ordinal_model.OrderedResults
    • statsmodels.discrete.discrete_model.DiscreteModel
    • statsmodels.discrete.discrete_model.DiscreteResults
    • statsmodels.discrete.discrete_model.BinaryModel
    • statsmodels.discrete.discrete_model.BinaryResults
    • statsmodels.discrete.discrete_model.CountModel
    • statsmodels.discrete.discrete_model.MultinomialModel
    • statsmodels.discrete.count_model.GenericZeroInflated
  • Generalized Linear Mixed Effects Models
  • ANOVA
  • Other Models othermod
  • Time Series analysis tsa
  • Time Series Analysis by State Space Methods statespace
  • Vector Autoregressions tsa.vector_ar
  • Methods for Survival and Duration Analysis
  • Nonparametric Methods nonparametric
  • Generalized Method of Moments gmm
  • Other Models miscmodels
  • Multivariate Statistics multivariate
  • Statistics stats
  • Contingency tables
  • Multiple Imputation with Chained Equations
  • Treatment Effects treatment
  • Empirical Likelihood emplike
  • Distributions
  • Graphics
  • Input-Output iolib
  • Tools
  • Working with Large Data Sets
  • Optimization
  • The Datasets Package
  • Sandbox
  • User Guide
  • Regression with Discrete Dependent Variable
  • statsmodels.discrete.discrete_model.NegativeBinomial
  • statsmodels.discrete.discrete_model.NegativeBinomial.score_obs

statsmodels.discrete.discrete_model.NegativeBinomial.score_obs#

NegativeBinomial.score_obs(params)[source]#

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