case class Erlang(mu: Double = 1.0, k: Int = 2, stream: Int = 0) extends Variate with Product with Serializable
This class generates Erlang random variates.
This continuous RV models the time until k stages complete.
- mu
the mean of exponential samples (Erlang mean = mu * k)
- k
the number of stages (or Exponential samples)
- stream
the random number stream
- See also
http://www.math.uah.edu/stat/poisson/Gamma.html
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Instance Constructors
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new
Erlang(mu: Double = 1.0, k: Int = 2, stream: Int = 0)
- mu
the mean of exponential samples (Erlang mean = mu * k)
- k
the number of stages (or Exponential samples)
- 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.
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- Variate
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final
def
eq(arg0: AnyRef): Boolean
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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
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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 k: Int
- val mean: Double
- val mu: Double
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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
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- 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
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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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def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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