Poisscdf
Definition:
\[prob = poisscdf(k, lambda)\] computes the lower tail probabilities in given value \(k\), associated with a Poisson distribution using the corresponding parameters in \(\lambda\).
The lower tailed probability:
\(P(X\leq k)=\sum_{i=0}^kP(X=i)=\sum_{i=0}^ke^{-\lambda }\frac{\lambda ^k}{k!}\)
Parameters:
- k (input,int)
- The integer which defines the required probabilities. \(k\geq 0\)
- lambda (input,double)
- The parameter \(\lambda\) of the Poisson distribution.\(0\leq lambda\leq 1.0e6\)
- prob (output,double)
- The probability.