case class Multinomial(p: Array[Double] = Array (.4, .7, 1.0), n: Int = 5, stream: Int = 0) extends VariateVec with Product with Serializable
The Multinomial class generates random variate vectors following the
multinomial distribution. This discrete RV models the multinomial trials,
which generalize Bernoulli trials ({0, 1} to the case where the outcome is
in {0, 1, ..., k-1}.
- p
array of cumulative probabilities as CDF values
- n
the number of independent trials
- stream
the random number stream
- See also
http://www.math.uah.edu/stat/bernoulli/Multinomial.html
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Instance Constructors
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new
Multinomial(p: Array[Double] = Array (.4, .7, 1.0), n: Int = 5, stream: Int = 0)
- p
array of cumulative probabilities as CDF values
- n
the number of independent trials
- 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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final
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asInstanceOf[T0]: T0
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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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- VariateVec
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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.
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the method where the error occurred
- message
the error message
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def
gen: VectoD
Determine the next random double vector for the particular distribution.
Determine the next random double vector for the particular distribution.
- Definition Classes
- Multinomial → VariateVec
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final
def
getClass(): Class[_]
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def
igen: VectoI
Determine the next random integer vector for the particular distribution.
Determine the next random integer vector for the particular distribution. It is only valid for discrete random variates.
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- Multinomial → VariateVec
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final
def
isInstanceOf[T0]: Boolean
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val
mean: VectoD
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- Multinomial → VariateVec
- 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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- val p: Array[Double]
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def
pf(z: VectoD): Double
Compute the probability function (pf): The probability density function (pdf) for continuous RVV's or the probability mass function (pmf) for discrete RVV's.
Compute the probability function (pf): The probability density function (pdf) for continuous RVV's or the probability mass function (pmf) for discrete RVV's.
- z
the mass point/vector whose probability is sought
- Definition Classes
- Multinomial → VariateVec
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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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- VariateVec
- val stream: Int
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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final
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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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