Category:Poisson Distribution
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This category contains results about the Poisson distribution.
Let $X$ be a discrete random variable on a probability space $\struct {\Omega, \Sigma, \Pr}$.
Then $X$ has the Poisson distribution with parameter $\lambda$ (where $\lambda > 0$) if and only if:
- $\Img X = \set {0, 1, 2, \ldots} = \N$
- $\map \Pr {X = k} = \dfrac 1 {k!} \lambda^k e^{-\lambda}$
It is written:
- $X \sim \Poisson \lambda$
Subcategories
This category has the following 3 subcategories, out of 3 total.
Pages in category "Poisson Distribution"
The following 15 pages are in this category, out of 15 total.
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- Poisson Distribution Approximated by Hat-Check Distribution
- Poisson Distribution Approximated by Hat-Check Distribution/Examples
- Poisson Distribution Approximated by Hat-Check Distribution/Examples/N equals 8
- Poisson Distribution Gives Rise to Probability Mass Function
- Probability Generating Function of Poisson Distribution