statsmodels.genmod.families.family.Tweedie.loglike_obs¶
-
Tweedie.loglike_obs(endog, mu, var_weights=
1.0
, scale=1.0
)[source]¶ The log-likelihood function for each observation in terms of the fitted mean response for the Tweedie distribution.
- Parameters:¶
- endog
ndarray
Usually the endogenous response variable.
- mu
ndarray
Usually but not always the fitted mean response variable.
- var_weightsarray_like
1d array of variance (analytic) weights. The default is 1.
- scale
float
The scale parameter. The default is 1.
- endog
- Returns:¶
- ll_i
float
The value of the loglikelihood evaluated at (endog, mu, var_weights, scale) as defined below.
- ll_i
Notes
If eql is True, the Extended Quasi-Likelihood is used. At present, this method returns NaN if eql is False. When the actual likelihood is implemented, it will be accessible by setting eql to False.
References
R Kaas (2005). Compound Poisson Distributions and GLM’s – Tweedie’s Distribution. https://core.ac.uk/download/pdf/6347266.pdf#page=11
JA Nelder, D Pregibon (1987). An extended quasi-likelihood function. Biometrika 74:2, pp 221-232. https://www.jstor.org/stable/2336136