RiskPoisson
|
Description
|
RiskPoisson(lambda) specifies a Poisson distribution parameter lambda, the mean. The Poisson distribution is a discrete distribution that returns only nonnegative integer values. It is often used to model the number of events that occur in a given time period where the rate of occurrences is constant. For example, it is often used in insurance modeling and financial markets to model the number of events (e.g. earthquakes, fires, stock market crashes) that might occur in a given period. It can also be applied to processes over other domains, e.g., spatial).
|
||||||
|
Examples
|
RiskPoisson(5) returns a Poisson distribution with mean 5. RiskPoisson(A6) returns a Poisson distribution with mean taken from cell A6.
|
||||||
|
Guidelines |
lambda must be positive. |
||||||
|
Parameters |
*λ = 0 is supported but it returns a degenerate distribution with x = 0. |
||||||
|
Domain |
|
||||||
|
Mass and Cumulative Distribution Functions |
|
||||||
|
Mean |
λ | ||||||
|
Variance |
λ | ||||||
|
Skewness |
|
||||||
|
Kurtosis |
|
||||||
|
Mode |
|
||||||
|
Examples |
|
