Poisson.cdf()

statsmodels.discrete.discrete_model.Poisson.cdf

Poisson.cdf(X) [source]

Poisson model cumulative distribution function

Parameters:

Parameters:	X : array-like `X` is the linear predictor of the model. See notes.
Returns:	The value of the Poisson CDF at each point.

X : array-like

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

Returns:

The value of the Poisson CDF at each point.

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.

© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.discrete.discrete_model.Poisson.cdf.html