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
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
iopscience.iop.org/0026-1394/44/2/003/pdf/0026-1394_44_2_003.pdf
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Instance Constructors
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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
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final
def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
##(): Int
- Definition Classes
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final
def
==(arg0: Any): Boolean
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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
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final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
- val b: Double
- val c: Double
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def
clone(): AnyRef
- Attributes
- protected[java.lang]
- Definition Classes
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- @native() @throws( ... )
- val d: Double
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def
discrete: Boolean
Determine whether the distribution is discrete or continuous.
Determine whether the distribution is discrete or continuous.
- Definition Classes
- Variate
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
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def
finalize(): Unit
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- protected[java.lang]
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- @throws( classOf[java.lang.Throwable] )
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final
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
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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
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def
gen1(z: Double): Double
Determine the next random number for the particular distribution.
Determine the next random number for the particular distribution. This version allows one parameter.
- z
the limit parameter
- Definition Classes
- Trapezoidal → Variate
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final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
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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
-
def
igen1(z: Double): 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. This version allows one parameter.
- z
the limit parameter
- Definition Classes
- Variate
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
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val
mean: Double
- Definition Classes
- Trapezoidal → Variate
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
- Definition Classes
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- @native()
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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
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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
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val
r: Random
Random number stream selected by the stream number
Random number stream selected by the stream number
- Attributes
- protected
- Definition Classes
- Variate
-
def
sgen: String
Determine the next random string for the particular distribution.
Determine the next random string for the particular distribution. For better random strings, overide this method.
- Definition Classes
- Variate
-
def
sgen1(z: Double): String
Determine the next random string for the particular distribution.
Determine the next random string for the particular distribution. For better random strings, overide this method. This version allows one parameter.
- z
the limit parameter
- Definition Classes
- Variate
- val stream: Int
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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final
def
wait(): Unit
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- @throws( ... )
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final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
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- @throws( ... )
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final
def
wait(arg0: Long): Unit
- Definition Classes
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- @native() @throws( ... )