breeze.stats.distributions

LogNormal

object LogNormal extends ExponentialFamily[LogNormal, Double] with Serializable

Linear Supertypes
Serializable, Serializable, ExponentialFamily[LogNormal, Double], AnyRef, Any
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Inherited
  1. LogNormal
  2. Serializable
  3. Serializable
  4. ExponentialFamily
  5. AnyRef
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Type Members

  1. type Parameter = (Double, Double)

    Definition Classes
    LogNormalExponentialFamily
  2. type SufficientStatistic = Gaussian.SufficientStatistic

    Definition Classes
    LogNormalExponentialFamily

Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. def distribution(p: (Double, Double)): LogNormal

    Definition Classes
    LogNormalExponentialFamily
  9. def emptySufficientStatistic: Gaussian.SufficientStatistic

    Definition Classes
    LogNormalExponentialFamily
  10. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  14. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  15. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  16. def likelihoodFunction(stats: SufficientStatistic): DiffFunction[(Double, Double)]

    Definition Classes
    LogNormalExponentialFamily
  17. def mle(stats: SufficientStatistic): (Double, Double)

    Definition Classes
    LogNormalExponentialFamily
  18. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  19. final def notify(): Unit

    Definition Classes
    AnyRef
  20. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  21. def sufficientStatisticFor(t: Double): Gaussian.SufficientStatistic

    Definition Classes
    LogNormalExponentialFamily
  22. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  23. def toString(): String

    Definition Classes
    AnyRef → Any
  24. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from ExponentialFamily[LogNormal, Double]

Inherited from AnyRef

Inherited from Any

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