case class DiscreteF(f: Array[FunctionS2S] = Array ((x: Double) => x), stream: Int = 0) extends Variate with Product with Serializable
The DiscreteF class generates generalized Discrete random variates for a
distribution specified via an array of functions (FunctionS2S). At a
particular time 't', the functions must some to one.
This discrete RV models time-varying experiments with discrete outcomes.
- f
the array of time-based functions
- stream
the random number stream
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Instance Constructors
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new
DiscreteF(f: Array[FunctionS2S] = Array ((x: Double) => x), stream: Int = 0)
- f
the array of time-based functions
- 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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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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- val f: Array[FunctionS2S]
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def
finalize(): Unit
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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.
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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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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
- val n: Int
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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
- def setTime(tt: Double): Unit
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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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- var t: Double
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final
def
wait(): Unit
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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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- val x: VectorD