Poisson Distribution

Tags: #Math #Statistics

Equation

Xπ(μ)f(x)=μxx!eμPoisson MeanμPoisson Varianceσ2=μ

Latex Code

1
X \sim \pi(\mu) \\f(x)=\frac{\mu^{x}}{x!}e^{-\mu}\\ \text{Poisson Mean} \mu \\  \text{Poisson Variance}\sigma^2=\mu

Have Fun

Let's Vote for the Most Difficult Equation!

Introduction

Equation



Latex Code

1
X \sim \pi(\mu) \\f(x)=\frac{\mu^{x}}{x!}e^{-\mu}\\ \text{Poisson Mean} \mu \\  \text{Poisson Variance}\sigma^2=\mu

Explanation

\mu equals to the probability that an event occurs in a unit time period.

Comments

Write Your Comment

Upload Pictures and Videos