case class Triangular(a: Double = 0, b: Double = 5, c: Double = Double.MaxValue, stream: Int = 0) extends Variate with Product with Serializable
This class generates simple Triangular random variates with the mode in the middle.
This continuous RV models cases where outcomes cluster around the mode.
- a
the lower bound
- b
the upper bound
- c
the mode
- stream
the random number stream
- See also
http://www.math.uah.edu/stat/special/Triangle.html
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Instance Constructors
- new Triangular(a: Double = 0, b: Double = 5, c: Double = Double.MaxValue, stream: Int = 0)
- a
the lower bound
- b
the upper bound
- c
the mode
- 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
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- val b: Double
- val c: Double
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
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- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- 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
- final def flaw(method: String, message: String): Unit
- 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
- Triangular → Variate
- 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
- Triangular → Variate
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- 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
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- val mean: Double
Precompute the mean for the particular distribution.
Precompute the mean for the particular distribution.
- Definition Classes
- Triangular → Variate
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
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- @native() @HotSpotIntrinsicCandidate()
- final def notifyAll(): Unit
- Definition Classes
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- Annotations
- @native() @HotSpotIntrinsicCandidate()
- 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
- Triangular → 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
- def productElementNames: Iterator[String]
- Definition Classes
- Product
- 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
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- final def wait(arg0: Long, arg1: Int): Unit
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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
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- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
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- @throws(classOf[java.lang.InterruptedException])
Deprecated Value Members
- def finalize(): Unit
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- protected[lang]
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- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated