case class Discrete(dist: VectoD = VectorD (.2, .2, .2, .2, .2), x: VectorD = null, cumulative: Boolean = false, stream: Int = 0) extends Variate with Product with Serializable
This class generates generalized Discrete random variates for a given
distribution specified using either a probability mass function (pmf)
or a cumulative distribution function (cdf).
This discrete RV models arbitrary experiments with discrete outcomes.
- dist
the distribution function (pdf or cdf)
- x
the x-coordinate values (mass points)
- cumulative
whether 'dist' is cumulative (cdf) or not (pmf)
- stream
the random number stream
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Instance Constructors
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new
Discrete(dist: VectoD = VectorD (.2, .2, .2, .2, .2), x: VectorD = null, cumulative: Boolean = false, stream: Int = 0)
- dist
the distribution function (pdf or cdf)
- x
the x-coordinate values (mass points)
- cumulative
whether 'dist' is cumulative (cdf) or not (pmf)
- stream
the random number stream
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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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)
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- Variate
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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- @throws( ... ) @native() @HotSpotIntrinsicCandidate()
- val cumulative: Boolean
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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
- val dist: VectoD
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final
def
eq(arg0: AnyRef): Boolean
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final
def
flaw(method: String, message: String): Unit
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def
gen: Double
Determine the next random number for the particular distribution.
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def
gen1(z: Double): Double
Determine the next random number for the particular distribution.
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final
def
getClass(): Class[_]
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- @native() @HotSpotIntrinsicCandidate()
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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
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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
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val
mean: Double
Precompute the mean for the particular distribution.
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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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.
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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
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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(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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final
def
wait(): Unit
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- @throws( ... )
- val x: VectorD
Deprecated Value Members
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def
finalize(): Unit
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- @throws( classOf[java.lang.Throwable] ) @Deprecated
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