EstimatedPoisson

slash.stats.probability.distributions.EstimatedPoisson
case class EstimatedPoisson(bounds: Interval[Long], idealized: Poisson, sampleMass: BigDecimal) extends EstimatedProbabilityDistribution[Long, Poisson]

Attributes

Source
Poisson.scala
Graph
Supertypes

Members list

Value members

Concrete methods

Attributes

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
def λ: Double

Attributes

Source
Poisson.scala

Inherited methods

inline def p(x: 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.

Value parameters

x

a sample

Attributes

Returns

Probability(x)

Inherited from:
EstimatedProbabilityDistribution
Source
EstimatedProbabilityDistribution.scala

Attributes

Inherited from:
Product

Attributes

Inherited from:
Product
inline override def random(r: Random): Long
inline def sample(n: Int, r: Random): NArray[Long]

Attributes

Inherited from:
Sampleable
Source
Sampleable.scala
inline def μ: Double

Attributes

Inherited from:
SampledMean
Source
SamplePointStatistics.scala
inline def σ: Double

Attributes

Inherited from:
SampledVariance
Source
SamplePointStatistics.scala
inline def σ²: Double

Attributes

Inherited from:
SampledVariance
Source
SamplePointStatistics.scala
inline def : BigDecimal

Attributes

Inherited from:
SampledMass
Source
SamplePointStatistics.scala

Inherited fields

Attributes

Inherited from:
SampledVariance
Source
SamplePointStatistics.scala