class Statistics::Distributions::Poisson

• Statistics::Distributions::Poisson
• Statistics::Distributions::DiscreteDistribution(Int32)
• Statistics::Distributions::Distribution(Int32)
• Reference
• Object

Overview

Represents a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time or space if these events occur with a known constant mean rate and independently of the time since the last event (source: wikipedia)

Defined in:

lib/distributions.cr

Constructors

• .new(lambda : Float64)

  Creates a Poisson distribution with expected value lambda.

Instance Method Summary

• #pmf(x)

  The Probability Mass Function (PMF) of a discrete random variable.

• #rand : Int32

  Samples a random variable with the given distribution.

Constructor Detail

Instance Method Detail