Poisson distribution
describes the random event count in a fixed window.
symbols, variables and units
k: non-negative integer number; λ: average number of events within the window, dimensionless.
applicable conditions and boundaries
Poisson process model requires independent increments and constant event rates; overdispersion requires other models.
formula source code
The following is a copyable LaTeX expression.
P(X=k)=\frac{\lambda^k e^{-\lambda}}{k!}Reference and Extended Learning
Harvard Stat 110 · Probability ↗is organized according to model definition and assumptions. Please check actual conditions and original literature before engineering, research and clinical use.
Poissoncount