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Poisson.cdf()

statsmodels.discrete.discrete_model.Poisson.cdf

Poisson.cdf(X) [source]

Poisson model cumulative distribution function

Parameters:

X : array-like

X is the linear predictor of the model. See notes.

Returns:

The value of the Poisson CDF at each point. :

Notes

The CDF is defined as

$\exp\left(-\lambda\right)\sum_{i=0}^{y}\frac{\lambda^{i}}{i!}$

where $\lambda$ assumes the loglinear model. I.e.,

$\ln\lambda_{i}=X\beta$

The parameter X is $X\beta$ in the above formula.

Links:

http://statsmodels.sourceforge.net/stable/generated/statsmodels.discrete.discrete_model.Poisson.cdf.html

doc_statsmodels

2025-01-10 15:47:30

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