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slash/ai.dragonfly.math/ai.dragonfly.math.stats/ai.dragonfly.math.stats.probability.distributions/LogNormal

LogNormal

ai.dragonfly.math.stats.probability.distributions.LogNormal
See theLogNormal companion object
case class LogNormal(μ: Double, σ²: Double) extends ParametricProbabilityDistribution[Double]

Attributes

Companion
object
Source
LogNormal.scala
Graph
Supertypes
trait Serializable
trait Product
trait Equals
trait ProbabilityDistribution[Double]
trait Sampleable[Double]
class Object
trait Matchable
class Any
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Members list

Value members

Concrete methods

def p(x: Double): 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)

Source
LogNormal.scala
override def random(r: Random): Double

Attributes

Definition Classes
Source
LogNormal.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
LogNormal.scala

Inherited methods

def mean: Double
def productElementNames: Iterator[String]

Attributes

Inherited from:
Product
def productIterator: Iterator[Any]

Attributes

Inherited from:
Product
def variance: Double

Concrete fields

val G: Gaussian

Attributes

Source
LogNormal.scala
lazy val σ: Double

Attributes

Source
LogNormal.scala

Inherited fields

val `#`: Numeric[Double]

Attributes

Inherited from:
ProbabilityDistribution
Source
ProbabilityDistribution.scala
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