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vector/ai.dragonfly.math.stats.probability.distributions/Poisson

Poisson

ai.dragonfly.math.stats.probability.distributions.Poisson
See thePoisson companion object
case class Poisson(λ: Double) extends ParametricProbabilityDistribution[Long]

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Attributes

Companion:
object
Source:
Poisson.scala
Graph
Supertypes
trait Product
trait Equals
class Object
trait Matchable
class Any

Members list

Concise view

Value members

Concrete methods

def lambda: Double

Attributes

Source:
Poisson.scala
def p(k: Long): Double

Probability Densidy Function: PDF Computes the probability of drawing sample x from this distribution.

Probability Densidy Function: PDF Computes the probability of drawing sample x from this distribution.

Attributes

x

a sample

Returns:

Probability(x)

Source:
Poisson.scala
override def random(r: Random): Long

Attributes

Definition Classes
Source:
Poisson.scala
override def toString: String

Returns a string representation of the object.

Returns a string representation of the object.

The default representation is platform dependent.

Attributes

Returns:

a string representation of the object.

Definition Classes
Any
Source:
Poisson.scala

Inherited methods

def productElementNames: Iterator[String]

Attributes

Inherited from:
Product
def productIterator: Iterator[Any]

Attributes

Inherited from:
Product

Concrete fields

override val μ: Double

Attributes

Source:
Poisson.scala
lazy val σ: Double

Attributes

Source:
Poisson.scala
override val σ²: Double

Attributes

Source:
Poisson.scala

Inherited fields

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