Trapezoidal

This class generates Trapezoidal random variates. This continuous RV models cases where outcomes cluster between two modes. Both Uniform and Triangular are special cases of Trapezoidal.

a: the minimum
c: the first mode
d: the second mode
b: the maximum
stream: the random number stream

See also: http://iopscience.iop.org/0026-1394/44/2/003/pdf/0026-1394_44_2_003.pdf

Linear Supertypes

Serializable, Serializable, Product, Equals, Variate, Error, AnyRef, Any

Instance Constructors

new Trapezoidal(a: Double = 0.0, c: Double = 2.0, d: Double = 7.0, b: Double = 10.0, stream: Int = 0)

a
the minimum
c
the first mode
d
the second mode
b
the maximum
stream
the random number stream

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

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

Definition Classes
AnyRef → Any
var _discrete: Boolean

Indicates whether the distribution is discrete or continuous (default)
Indicates whether the distribution is discrete or continuous (default)

Attributes
protected
Definition Classes
Variate
val a: Double

the minimum
final def asInstanceOf[T0]: T0

Definition Classes
Any
val b: Double

the maximum
val c: Double

the first mode
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val d: Double

the second mode
def discrete: Boolean

Determine whether the distribution is discrete or continuous.
Determine whether the distribution is discrete or continuous.

Definition Classes
Variate
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def flaw(method: String, message: String): Unit

Show the flaw by printing the error message.
Show the flaw by printing the error message.
method
the method where the error occurred
message
the error message

Definition Classes
Error
def gen: Double

Determine the next random number for the particular distribution.
Determine the next random number for the particular distribution.

Definition Classes
Trapezoidal → Variate
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def igen: Int

Determine the next random integer for the particular distribution.
Determine the next random integer for the particular distribution. It is only valid for discrete random variates.

Definition Classes
Variate
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
val mean: Double

Pre-compute the mean for the particular distribution.
Pre-compute the mean for the particular distribution.

Definition Classes
Trapezoidal → Variate
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def pf(z: Double): Double

Compute the probability function (pf): Either (a) the probability density function (pdf) for continuous RV's or (b) the probability mass function (pmf) for discrete RV's.
Compute the probability function (pf): Either (a) the probability density function (pdf) for continuous RV's or (b) the probability mass function (pmf) for discrete RV's.
z
the mass point whose probability density/mass is sought

Definition Classes
Trapezoidal → Variate
def pmf(k: Int = 0): Array[Double]

Return the entire probability mass function (pmf) for finite discrete RV's.
Return the entire probability mass function (pmf) for finite discrete RV's.
k
number of objects of the first type

Definition Classes
Variate
val r: Random

Random number stream selected by the stream number
Random number stream selected by the stream number

Attributes
protected
Definition Classes
Variate
val stream: Int

the random number stream
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Doc: package random

case class Trapezoidal(a: Double = 0.0, c: Double = 2.0, d: Double = 7.0, b: Double = 10.0, stream: Int = 0) extends Variate with Product with Serializable

Instance Constructors

new Trapezoidal(a: Double = 0.0, c: Double = 2.0, d: Double = 7.0, b: Double = 10.0, stream: Int = 0)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

var _discrete: Boolean

val a: Double

final def asInstanceOf[T0]: T0

val b: Double

val c: Double

def clone(): AnyRef

val d: Double

def discrete: Boolean

final def eq(arg0: AnyRef): Boolean

def finalize(): Unit

def flaw(method: String, message: String): Unit

def gen: Double

final def getClass(): Class[_]

def igen: Int

final def isInstanceOf[T0]: Boolean

val mean: Double

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def pf(z: Double): Double

def pmf(k: Int = 0): Array[Double]

val r: Random

val stream: Int

final def synchronized[T0](arg0: ⇒ T0): T0

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Variate

Inherited from Error

Inherited from AnyRef

Inherited from Any

Ungrouped