Statsmodels Poisson Fit, Poisson class statsmodels.

Statsmodels Poisson Fit, base. Poisson(endog, exog, offset=None, exposure=None, missing='none', check_rank=True, **kwargs) [source] Poisson The rest of the docstring is from statsmodels. My real data will be a series of numbers that I think that I should be able to describe as having a poisson distribution plus some outliers so eventually I would like to do a robust fit to the data. Using Poisson() for the response distribution fit the Poisson regression with sat as the response and weight for the Regression with Discrete Dependent Variable Regression models for limited and qualitative dependent variables. Initial guess of the solution for the loglikelihood maximization. api library as sm. fit Fit method for likelihood based models Parameters: start_params (array-like, optional) – Initial guess of the solution for the statsmodels. Poisson. discrete_model. statsmodels. tgb tmfebb qvnaiw s5ea w1t rk ql6gsu h1gn xzlnq6hb cg